<?xml version='1.0'?>
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<art>
   <ui>1478-4491-2-2</ui>
   <ji>1478-4491</ji>
   <fm>
      <dochead>Research</dochead>
      <bibl>
         <title>
            <p>The remittances of migrant Tongan and Samoan nurses from Australia</p>
         </title>
         <aug>
            <au id="A1">
               <snm>Connell</snm>
               <fnm>John</fnm>
               <insr iid="I1"/>
               <email>jconnell@mail.usyd.edu.au</email>
            </au>
            <au id="A2" ca="yes">
               <snm>Brown</snm>
               <mi>PC</mi>
               <fnm>Richard</fnm>
               <insr iid="I2"/>
               <email>r.brown@economics.uq.edu.au</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>Head of School, School of Geosciences, University of Sydney, Australia</p>
            </ins>
            <ins id="I2">
               <p>School of Economics, The University of Queensland, Brisbane, Australia</p>
            </ins>
         </insg>
         <source>Human Resources for Health</source>
         <issn>1478-4491</issn>
         <pubdate>2004</pubdate>
         <volume>2</volume>
         <issue>1</issue>
         <fpage>2</fpage>
         <url>http://www.human-resources-health.com/content/2/1/2</url>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">15078577</pubid>
               <pubid idtype="doi">10.1186/1478-4491-2-2</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>28</day>
               <month>10</month>
               <year>2003</year>
            </date>
         </rec>
         <acc>
            <date>
               <day>13</day>
               <month>4</month>
               <year>2004</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>13</day>
               <month>4</month>
               <year>2004</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2004</year>
         <collab>Connell and Brown; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.</collab>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <sec>
               <st>
                  <p>Background</p>
               </st>
               <p>Migration and remittances are of considerable importance in the small Pacific island states. There has been a significant migration of skilled health workers in recent decades to metropolitan fringe states, including Australia and New Zealand. This paper reports the findings of a re-analysis of survey of Samoan and Tongan migrants in Australia where the sample is split between nurse households and others.</p>
            </sec>
            <sec>
               <st>
                  <p>Methods</p>
               </st>
               <p>The study analyzes the survey data with a view to comparing the remittance behaviour and determinants of remittances for nurses and other migrant households, using both descriptive, cross-tabulations and appropriate econometric methods.</p>
            </sec>
            <sec>
               <st>
                  <p>Results</p>
               </st>
               <p>It is found that a significantly higher proportion of nurse households sent remittances home, and, on average remitted more. Remittances of nurse households did not decline significantly over time contrary to what has generally been predicted. This was in contrast to other migrant households in the sample, for whom remittances showed a sharp decline after 15 years absence. Remittances contribute much more to the income of migrant sending countries, than the cost of the additional human capital in nurse training.</p>
            </sec>
            <sec>
               <st>
                  <p>Conclusions</p>
               </st>
               <p>Given the shortage of nurses in Australia and New Zealand, and therefore the high demand for immigrant nurses, investment by Pacific island governments and families in nurse training constitutes a rational use of economic resources. Policies encouraging investment in home countries may be more effective than policies directly discouraging brain drain in contributing to national development.</p>
            </sec>
         </sec>
      </abs>
   </fm>
   <bdy>
      <sec>
         <st>
            <p>Background</p>
         </st>
         <p>In little more than a quarter of a century there has been extensive migration from the small states of the Pacific to the metropolitan countries that border the region, resulting in absolute population decline in some states and new social, political and economic relationships. Contemporary variations in the structure of migration are substantially a function of colonial history, and throughout the Pacific islands, islanders have mobilized colonial ties to emigrate to the metropolitan countries. In small states like the Cook Islands, Niue and American Samoa there are more islanders overseas than in their own countries, and that overseas proportion is gradually increasing. For the larger Polynesian states of Tonga and Samoa (formerly Western Samoa) that are discussed here, there are as many Tongans and Samoans overseas as there are in the home countries. Migration is both catalyst and consequence of economic and social change.</p>
         <p>In the small island states of the Pacific, prospects for economic growth are quite limited. Hence the now widely perceived disparities in economic welfare between the Pacific states, especially the smallest states of Polynesia and Micronesia, and the fringing metropolitan nations, have contributed not only to substantial migration but also to increasing pressures for further migration. The variety of reasons put forward to explain migration in the Pacific sometimes seems interminable and the problems of generalization considerable. However the major influences are economic even where social changes are also significant. Migration is primarily a response to real and perceived inequalities in socio-economic opportunities that are themselves a result of dependent and/or uneven sectoral and regional development. A major influence on migration has been radical changes in expectations over what constitutes a satisfactory standard of living, a desirable occupation and a suitable mix of accessible services and amenities. Social influences on migration are important, especially in terms of access to education and health services; such social influences are in turn often a function of economic issues. Migration remains, in different forms, a time-honoured strategy of moving from a poor area to a richer one in the search for social and economic mobility abroad or at home.</p>
         <p>In all migration contexts, remittances play an important role. By 1995 total remittances exceded total foreign aid flows and represent approximately 40% of global Foreign Direct Investment. Remittances, projected by the World Bank to exceed US$90 billion in 2003, constitute the largest source of financial flows to developing countries and are considered more stable than other flows such as foreign direct investment and foreign aid <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. In the past remittances attracted the interest of some policy-makers and researchers, including the ILO, as a potential net social benefit of international labor movements. The importance of migrants' remittances as a major source of external finance for developing countries has only recently received serious attention from international financial institutions such as the World Bank Kapur and McHale note "remittances have emerged as the latest <it>cause c&#233;l&#232;bre </it>among governments, foundations, and multilateral institutions" <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>. The World Bank, Department for international Development (DFID, UK) and the International Migration Policy Programme (IMP) hosted a two-day conference in London on 9&#8211;10 October 2003: 'The International Conference on Migrant Remittances: Development Impact, Opportunities for the Financial Sector and Future Prospects', bringing together over 100 participants from 42 countries.</p>
         <p>(See <url>http://www.livelihoods.org/hot_topics/migration/remittances.html</url>).</p>
         <p>Latin America and the Caribbean receive the largest share of remittances, with US$25 billion in 2002. South Asia receives approximately US$16 billion. Relative to GDP, South Asia is the largest recipient with remittance receipts amounting to 2.5% of GDP. In Africa, one striking example is Lesotho, where remittances comprise 25% of GDP. In the South Pacific, two countries that are most dependent on migration and remittances although tiny countries in terms of population and GDP are Tonga and Samoa, where income from remittances is estimated to be about the same as total GDP.</p>
         <p>However in many situations there is inadequate information on remittances and their use, and hence on their real and potential contribution to domestic economic development and their influence on social change or continuity. In many countries migrant remittances form a significant part of disposable income, especially in Tonga, Samoa and smaller states such as Cook Islands, Wallis and Futuna, Kiribati and Tuvalu. The sustainability of remittance-dependent development is particularly important, but also uncertain because the needs of the countries of origin for remittances are likely to grow faster than supply <abbrgrp><abbr bid="B3">3</abbr><abbr bid="B4">4</abbr></abbrgrp>. The rate of growth of migration to major destinations, namely New Zealand, Australia and the USA, has declined in recent years due to economic recession, and return migration has sometimes been considerable. Even with continued migration however the anticipated imbalance is likely to persist because of the dynamics of settlement migration. With family reunification and with greater integration of the migrants in the host communities, their ability and willingness to remit has been widely expected to decline over time.</p>
         <p>In some contexts in the region international migration has been viewed as a kind of "safety-valve" reducing pressures on national governments to provide employment opportunities and welfare services especially in conditions of high rates of natural increase of population and low rates of economic growth. Throughout the region, the "safety-valve" effect, limited economic growth plus concern over individual freedom of movement, have combined to result in steady and domestically unimpeded migration from many countries. In Tonga and Samoa this has led to the domestic population total being relatively unchanged for several decades, despite relatively high rates of natural increase. Migration has tended to be viewed rather as a substitute for development than as a short-term support for increasing the effectiveness of national development efforts. The use of remittances is therefore of considerable significance.</p>
         <p>Samoa is one of the larger of the Polynesian states. With a population of about 170,000, two thirds of whom are on the island of Upolu (the smaller of the two main islands), which contains the only town, Apia, and has the national hospital. Samoa has a small open economy, dependent on a narrow resource base centred on agriculture and fishing, and also on tourism, aid and remittances. It has a health system that has been substantially affected by the large-scale emigration of trained personnel. 'Whilst there have been significant numbers of Samoan doctors trained since independence, losses of doctors to other countries in the region and to rim countries continues to be a major problem', hence in 1991 most Samoan doctors practising in the public system were either of retirement age (15 out of 34) or new graduates (8 of the 34 being aged less than 35) and accounted for only 60% of all public sector doctors, with most of the remainder being United Nations Volunteer doctors. Several doctors had actually been brought back from retirement to cope with the shortage <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>. This unusually skewed age distribution has not subsequently changed.</p>
         <p>It was argued at the start of the 1990s that 'Many new graduates have not been satisfied with salaries offered and have acquired more remunerative positions elsewhere. According to one 1992 estimate, some 50% of medical graduates migrated over the period 1958&#8211;1991 with 80% of this loss occurring since 1980' <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>. Similar problems of retention were evident for other skilled health workers, including nurses, and were attributed 'to salary levels offered by the government relative to alternative employment opportunities in the region and rim countries' <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>. However the number of nurses was then regarded as adequate, though there was a shortage by 1998 when there were only 140 nurses working at the National Hospital (compared with the required staff number of 168). This situation has persisted.</p>
         <p>The Kingdom of Tonga is a Polynesian state with a population of just under 100,000 but, in parallel with Samoa, almost as many ethnic Tongans live overseas. The economy of Tonga has grown steadily in recent years, with agriculture and fisheries being important, but, like Samoa, it is heavily dependent on aid and remittances. Because of the distribution of Tonga's population over some forty populated islands Tonga's health system is more complex and decentralized than in most island states. However since about 70% of the country's population now live on the main island of Tongatapu the central Vaiola hospital plays a crucial role in health delivery, though there are three other regional hospitals. A small private sector meets the needs of some expatriates and those who are willing to pay in order to avoid hospital queues. As in Samoa, medical officers are trained overseas, usually in Papua New Guinea, Fiji or New Zealand, whilst the training of Health Officers and nurses takes place locally.</p>
         <p>The international migration of skilled health workers, and especially the loss of skilled workers from developing states, has become an issue of global concern in recent years. Though the brain drain of nurses and doctors was well recognised as of concern in the 1970s, at that time it was concentrated in relatively few states, such as the Philippines and some smaller island states in the Caribbean <abbrgrp><abbr bid="B6">6</abbr></abbrgrp>. Subsequently it has become significant in many developing states, especially the relatively poor sub-Saharan states, and in other small island states, where wages are relatively poor and employment conditions sometimes difficult <abbrgrp><abbr bid="B7">7</abbr></abbrgrp>. While this process is part of an accelerated globalisation of the service sector, marked by a new internationalisation of labour, it poses problems for less developed states. In many of these states health conditions are particularly difficult and the loss of skilled health workers is a substantial constraint to effective health care delivery.</p>
         <p>Migration of skilled health workers from the Pacific island countries is widely considered to be a growing problem. Loss of significant numbers of key health workers affects core national strategies for health sector development, creating problems for health care and for human resource planning and development. Training of skilled workers is particularly costly because of the long duration, the high costs of teaching materials and techniques (and the need for post-graduate education and training programmes) and the limited resources of island states. Consequently the outmigration of health workers is unusually costly. Replacements may also be costly (and may be lacking in appropriate skills, languages and cultural sensitivity), thus creating potential problems in satisfying basic needs, achieving sustainable health strategies and developing healthy islands.</p>
         <p>Migration has become more selective over time, as metropolitan states have moved towards migration policies that favour skilled migration, so migration from Pacific island states is more likely to be characterised as a brain drain. A significant part of this migration has been of nurses, doctors and other skilled health workers. Like other migrants such skilled health workers also play a role in sending remittances to their home countries. The present study was designed to provide some indication of the structure of remittance flows from skilled health workers from Tonga and Samoa who were living in Australia to their home island states. A specific study of this kind has never previously focused on health workers, other than in the case of migrant doctors from the Philippines, where it was concluded that their remittances were substantial enough to offset training and other costs <abbrgrp><abbr bid="B8">8</abbr></abbrgrp>. The present study represents a re-examination, and more detailed analysis by sector, of data collected in 1994 on the migration of Samoans and Tongans to the two Australian cities of Sydney and Brisbane. Though some data were collected on doctors and other skilled health workers only the sample of nurses was large enough to generate meaningful data and conclusions, hence this report focuses entirely on nurses.</p>
      </sec>
      <sec>
         <st>
            <p>Methods and literature review</p>
         </st>
         <sec>
            <st>
               <p>The survey</p>
            </st>
            <p>In 1994 a total of 1,294 households from the Tongan and Samoan communities in Brisbane and Sydney were surveyed. This sample represented about 15% to 20% of the Tongan- and Samoan-born population in Australia as estimated from the 1991 Australian census. The precise population size of the Tongan and Samoan migrant community in Australia is unknown (in part because of mis-reporting, the significant proportion of illegal migrants and the New Zealand citizenship of many Samoans especially).</p>
            <p>The targeted migrant communities or populations consist of all households where at least one member from the household was born in either Tonga or Samoa. The 'Key Informant' sampling methodology was adopted <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>, since there is no population base to draw from for any kind of random or stratified sampling. Since the sampled migrant households could not be selected on a purely random basis neither the probability of the sampling error nor reliable confidence intervals could be calculated. To ensure that the survey obtained a representative proportion of socio-economic migrants, the Statistical Local Authorities (SLAs) from which the sample was drawn were classified into socio-economic strata. The distribution of migrant households across the SLAs was assumed to reflect the composition of the migrant population in terms of the relative socio-economic situation of its members. Church and other community representatives were approached and the purpose of the exercise explained and discussed, before the actual interviewing began. This ensured not only the cooperation of the interviewees as well as identifying, locating and interviewing the households that make up the population. It is believed that any resulting biases were largely off-set by the size of the sample.</p>
            <p>The survey was conducted by interviewers from the migrant communities themselves. To minimise sample bias a number of other procedures were followed. With the Samoan community, a quota system was used to ensure that the numbers of respondents were apportioned across the different church congregations in accordance with their estimated relative sizes, thereby establishing a representative balance amongst all of the churches. With the Tongan community, where the chosen interviewers were community leaders who had access to confidential community lists from other sources, it was considered unnecessary to follow the same church-based quota system. When selecting households for inclusion in the sample the interviewers were unable to pre-select on the basis of the respondents' actual socio-economic situation. Interviewers were therefore assigned a quota of households to survey from each of the four strata, on the assumption that this would ensure a representative cross-section of income levels in the overall sample. Interviewers were instructed to apportion their samples across the SLAs on the basis of the proportions of migrants in each of the strata. As the final sampling was based largely on migrant households that were associated with the various ethnic community groups, churches and other organisations, it is conceivable that households from these higher socio-economic strata do not participate as actively in the community organisations. It is therefore possible that the Samoan sample is slightly biased towards households in the lower socio-economic groups and with stronger ties to the Samoan ethnic community.</p>
            <p>The composition of the two sub-samples and the combined sample is given in Table <tblr tid="T1">1</tblr>. The total sample of Tongan and Samoan migrants living in Brisbane and Sydney was 1294; some 343 (26.5% of the combined sample) were from Brisbane and 951 (73.5% of the combined sample) from Sydney. Among the respondent households 153, or 11.8% of the combined sample, can be defined as nurse households. As the survey was on a household basis, the surveyed nurses were either heads of household, the spouses of household heads, or, members of a household; all are hereafter referred to as 'nurse households', as distinct from 'others'. The households with nurses are not subsequently differentiated according to the nurse's status within the household. There were too few Samoan nurses for disaggregation by national groups. Previous work has however shown that Tongan migrants have a higher likelihood of remitting compared with Samoans, controlling for all other observable characteristics <abbrgrp><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp>. That almost 12% of the sample was nurse households is indicative of the significance of skilled health worker migration from the South Pacific to Australia.</p>
            <tbl id="T1">
               <title>
                  <p>Table 1</p>
               </title>
               <caption>
                  <p>Composition of the sample</p>
               </caption>
               <tblbdy cols="8">
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c cspan="2" ca="center">
                        <p>
                           <b>Brisbane</b>
                        </p>
                     </c>
                     <c cspan="2" ca="center">
                        <p>
                           <b>Sydney</b>
                        </p>
                     </c>
                     <c cspan="2" ca="center">
                        <p>
                           <b>Combined</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="8">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Tongans</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Nurses</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>23</p>
                     </c>
                     <c ca="right">
                        <p>6.7%</p>
                     </c>
                     <c ca="right">
                        <p>96</p>
                     </c>
                     <c ca="right">
                        <p>10.1%</p>
                     </c>
                     <c ca="right">
                        <p>119</p>
                     </c>
                     <c ca="right">
                        <p>9.2%</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Others</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>154</p>
                     </c>
                     <c ca="right">
                        <p>44.9%</p>
                     </c>
                     <c ca="right">
                        <p>513</p>
                     </c>
                     <c ca="right">
                        <p>53.9%</p>
                     </c>
                     <c ca="right">
                        <p>667</p>
                     </c>
                     <c ca="right">
                        <p>51.5%</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Samoans</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Nurses</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>9</p>
                     </c>
                     <c ca="right">
                        <p>2.6%</p>
                     </c>
                     <c ca="right">
                        <p>25</p>
                     </c>
                     <c ca="right">
                        <p>2.6%</p>
                     </c>
                     <c ca="right">
                        <p>34</p>
                     </c>
                     <c ca="right">
                        <p>2.6%</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Others</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>157</p>
                     </c>
                     <c ca="right">
                        <p>45.8%</p>
                     </c>
                     <c ca="right">
                        <p>317</p>
                     </c>
                     <c ca="right">
                        <p>33.3%</p>
                     </c>
                     <c ca="right">
                        <p>474</p>
                     </c>
                     <c ca="right">
                        <p>36.6%</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Total</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>343</p>
                     </c>
                     <c ca="right">
                        <p>100.0%</p>
                     </c>
                     <c ca="right">
                        <p>951</p>
                     </c>
                     <c ca="right">
                        <p>100.0%</p>
                     </c>
                     <c ca="right">
                        <p>1294</p>
                     </c>
                     <c ca="right">
                        <p>100.0%</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Both Groups</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Nurses</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>32</p>
                     </c>
                     <c ca="right">
                        <p>9.3%</p>
                     </c>
                     <c ca="right">
                        <p>121</p>
                     </c>
                     <c ca="right">
                        <p>12.7%</p>
                     </c>
                     <c ca="right">
                        <p>153</p>
                     </c>
                     <c ca="right">
                        <p>11.8%</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Others</b>
                        </p>
                     </c>
                     <c ca="right">
                        <p>311</p>
                     </c>
                     <c ca="right">
                        <p>90.7%</p>
                     </c>
                     <c ca="right">
                        <p>830</p>
                     </c>
                     <c ca="right">
                        <p>87.3%</p>
                     </c>
                     <c ca="right">
                        <p>1141</p>
                     </c>
                     <c ca="right">
                        <p>88.2%</p>
                     </c>
                  </r>
               </tblbdy>
            </tbl>
         </sec>
         <sec>
            <st>
               <p>Sample characteristics</p>
            </st>
            <sec>
               <st>
                  <p>Variable definitions and codes</p>
               </st>
               <p>Table <tblr tid="T2">2</tblr> shows the sample means and standard deviations for a selection of socio-economic and demographic variables used in this study, and thus identifies some of the key characteristics of the sample. The names and definitions of the variables are as follows: Household income level, expressed in 1994 Australian dollars, after tax, as declared by the head of household for the 12 month period preceding the survey <it>(INCOME)</it>;</p>
               <tbl id="T2">
                  <title>
                     <p>Table 2</p>
                  </title>
                  <caption>
                     <p>Sample means and standard deviations</p>
                  </caption>
                  <tblbdy cols="7">
                     <r>
                        <c>
                           <p/>
                        </c>
                        <c cspan="2" ca="center">
                           <p>
                              <b>NURSES</b>
                           </p>
                        </c>
                        <c cspan="2" ca="center">
                           <p>
                              <b>OTHERS</b>
                           </p>
                        </c>
                        <c cspan="2" ca="left">
                           <p>
                              <b>COMBINED</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="7">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c>
                           <p/>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Mean</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Std. Dev.</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Mean</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Std. Dev.</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Mean</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Std. Dev.</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="7">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>TONGAN (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.778</p>
                        </c>
                        <c ca="right">
                           <p>0.417</p>
                        </c>
                        <c ca="right">
                           <p>0.585</p>
                        </c>
                        <c ca="right">
                           <p>0.493</p>
                        </c>
                        <c ca="right">
                           <p>0.607</p>
                        </c>
                        <c ca="right">
                           <p>0.489</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>INCOME (A$)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>37604.027</p>
                        </c>
                        <c ca="right">
                           <p>16115.675</p>
                        </c>
                        <c ca="right">
                           <p>29967.769</p>
                        </c>
                        <c ca="right">
                           <p>14187.022</p>
                        </c>
                        <c ca="right">
                           <p>30886.834</p>
                        </c>
                        <c ca="right">
                           <p>14638.300</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>REMITTER (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.934</p>
                        </c>
                        <c ca="right">
                           <p>0.250</p>
                        </c>
                        <c ca="right">
                           <p>0.821</p>
                        </c>
                        <c ca="right">
                           <p>0.384</p>
                        </c>
                        <c ca="right">
                           <p>0.834</p>
                        </c>
                        <c ca="right">
                           <p>0.372</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>TOTREM (A$)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>3196.026</p>
                        </c>
                        <c ca="right">
                           <p>3355.530</p>
                        </c>
                        <c ca="right">
                           <p>2585.374</p>
                        </c>
                        <c ca="right">
                           <p>3511.103</p>
                        </c>
                        <c ca="right">
                           <p>2657.076</p>
                        </c>
                        <c ca="right">
                           <p>3497.460</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>REMPROP (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.095</p>
                        </c>
                        <c ca="right">
                           <p>0.126</p>
                        </c>
                        <c ca="right">
                           <p>0.095</p>
                        </c>
                        <c ca="right">
                           <p>0.110</p>
                        </c>
                        <c ca="right">
                           <p>0.095</p>
                        </c>
                        <c ca="right">
                           <p>0.125</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>LAND (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.425</p>
                        </c>
                        <c ca="right">
                           <p>0.496</p>
                        </c>
                        <c ca="right">
                           <p>0.351</p>
                        </c>
                        <c ca="right">
                           <p>0.477</p>
                        </c>
                        <c ca="right">
                           <p>0.359</p>
                        </c>
                        <c ca="right">
                           <p>0.480</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>OWNAUS (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.386</p>
                        </c>
                        <c ca="right">
                           <p>0.488</p>
                        </c>
                        <c ca="right">
                           <p>0.252</p>
                        </c>
                        <c ca="right">
                           <p>0.435</p>
                        </c>
                        <c ca="right">
                           <p>0.268</p>
                        </c>
                        <c ca="right">
                           <p>0.443</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>OWNOVS (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.438</p>
                        </c>
                        <c ca="right">
                           <p>0.498</p>
                        </c>
                        <c ca="right">
                           <p>0.379</p>
                        </c>
                        <c ca="right">
                           <p>0.485</p>
                        </c>
                        <c ca="right">
                           <p>0.386</p>
                        </c>
                        <c ca="right">
                           <p>0.487</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>AGEHOH (Yrs)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>38.475</p>
                        </c>
                        <c ca="right">
                           <p>8.538</p>
                        </c>
                        <c ca="right">
                           <p>40.592</p>
                        </c>
                        <c ca="right">
                           <p>10.851</p>
                        </c>
                        <c ca="right">
                           <p>40.323</p>
                        </c>
                        <c ca="right">
                           <p>10.605</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>AGENURSE (Yrs)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>36.901</p>
                        </c>
                        <c ca="right">
                           <p>7.959</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>SEXNURSE (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.954</p>
                        </c>
                        <c ca="right">
                           <p>0.210</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>MARRIED (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.869</p>
                        </c>
                        <c ca="right">
                           <p>0.338</p>
                        </c>
                        <c ca="right">
                           <p>0.878</p>
                        </c>
                        <c ca="right">
                           <p>0.327</p>
                        </c>
                        <c ca="right">
                           <p>0.877</p>
                        </c>
                        <c ca="right">
                           <p>0.328</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>PARENT (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.608</p>
                        </c>
                        <c ca="right">
                           <p>0.490</p>
                        </c>
                        <c ca="right">
                           <p>0.608</p>
                        </c>
                        <c ca="right">
                           <p>0.488</p>
                        </c>
                        <c ca="right">
                           <p>0.608</p>
                        </c>
                        <c ca="right">
                           <p>0.488</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NURSEHOH (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.307</p>
                        </c>
                        <c ca="right">
                           <p>0.463</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                        <c ca="right">
                           <p>N/A</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>SPOUSE (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.053</p>
                        </c>
                        <c ca="right">
                           <p>0.224</p>
                        </c>
                        <c ca="right">
                           <p>0.087</p>
                        </c>
                        <c ca="right">
                           <p>0.282</p>
                        </c>
                        <c ca="right">
                           <p>0.083</p>
                        </c>
                        <c ca="right">
                           <p>0.276</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>VISITOR (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.333</p>
                        </c>
                        <c ca="right">
                           <p>0.473</p>
                        </c>
                        <c ca="right">
                           <p>0.262</p>
                        </c>
                        <c ca="right">
                           <p>0.440</p>
                        </c>
                        <c ca="right">
                           <p>0.270</p>
                        </c>
                        <c ca="right">
                           <p>0.444</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>HOUSNUM (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>4.163</p>
                        </c>
                        <c ca="right">
                           <p>1.830</p>
                        </c>
                        <c ca="right">
                           <p>4.288</p>
                        </c>
                        <c ca="right">
                           <p>2.038</p>
                        </c>
                        <c ca="right">
                           <p>4.274</p>
                        </c>
                        <c ca="right">
                           <p>2.014</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>INTENT (%)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>0.164</p>
                        </c>
                        <c ca="right">
                           <p>0.372</p>
                        </c>
                        <c ca="right">
                           <p>0.124</p>
                        </c>
                        <c ca="right">
                           <p>0.330</p>
                        </c>
                        <c ca="right">
                           <p>0.129</p>
                        </c>
                        <c ca="right">
                           <p>0.335</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>ABSENCE (Mnths)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>138.497</p>
                        </c>
                        <c ca="right">
                           <p>73.822</p>
                        </c>
                        <c ca="right">
                           <p>111.747</p>
                        </c>
                        <c ca="right">
                           <p>63.024</p>
                        </c>
                        <c ca="right">
                           <p>114.910</p>
                        </c>
                        <c ca="right">
                           <p>64.941</p>
                        </c>
                     </r>
                  </tblbdy>
               </tbl>
               <p>(i) Whether the birthplace of the household head was in Tonga (as opposed to Samoa) <it>(TONGAN)</it>;</p>
               <p>(ii) Whether the household remitted to their country of origin during the 12 month period preceding the survey, 1 if yes otherwise 0 <it>(REMITTER)</it>;</p>
               <p>(iii) Household remittances in all forms, expressed in 1994 Australian dollars as declared by the head of household for the 12 month period preceding the survey <it>(TOTREM)</it>;</p>
               <p>(iv) Household remittances as a percentage of household income, expressed as a percentage <it>(REMPROP)</it>;</p>
               <p>(v) whether the head of household owned land in his or her country of origin, 1 if yes otherwise 0 <it>(LAND)</it>;</p>
               <p>(vi) whether the head of household owned non-land assets in his or her country of origin, 1 if yes otherwise 0 <it>(OWNOVS)</it>;</p>
               <p>(vii) whether the head of household owned assets to the value of at least $A5000 in Australia, 1 if yes otherwise 0 <it>(OWNAUS)</it>;</p>
               <p>(viii) Age of household head in years <it>(AGEHOH)</it>;</p>
               <p>(ix) Age of nurse in years <it>(NURSEAGE);</it></p>
               <p>(x) Gender of nurse <it>(SEXNURSE);</it></p>
               <p>(xi) whether the head of household is married, 1 if yes otherwise 0 <it>(MARRIED)</it></p>
               <p>(xii) whether the head of household and/or spouse still have at least one living parent in country of origin, 1 if yes otherwise 0 (<it>PARENT</it>);</p>
               <p>(xiii) Whether the nurse is the stated household head <it>(NURSEHOH);</it></p>
               <p>(xiv) whether the head of household is married with spouse still in the home country, 1 if yes otherwise 0 <it>(SPOUSE)</it>;</p>
               <p>(xv) whether the household had received house-guests to stay during the preceding 12 months, 1 if yes otherwise 0 <it>(VISITOR)</it>;</p>
               <p>(xvi) The number of persons living in the household <it>(HOUSNUM)</it>.</p>
               <p>(xvii) whether the head of household intended to return to his or her country of origin, 1 if yes otherwise 0 <it>(INTENT)</it>;</p>
               <p>(xviii) the number of months since the migrant first emigrated <it>(ABSENCE)</it>;</p>
            </sec>
            <sec>
               <st>
                  <p>Demographic characteristics</p>
               </st>
               <p>The nurse was the stated household head in 30.7% of the nurse households. The average nurse household size was 4.2 persons, very similar to the mean size of other households of 4.3. The average age of the nurses was 36.9 years, in comparison with 40.6 years for other respondents; 95.4% were women and 86.9% were married. (Some 5.5% were married but not living in the same country as their spouse, who was therefore outside Australia, in comparison with 8.7% for other households.) On average, nurse households had spent 11.5 years living abroad, compared with 9.3 years for others. A higher proportion of nurse households (16.4%) stated that it was their intention to return home, in comparison with others (12.4%).</p>
            </sec>
            <sec>
               <st>
                  <p>Income and assets</p>
               </st>
               <p>Nurse households enjoyed significantly higher mean incomes than other households, A$37,604 compared with A$29,968. A higher proportion held significant assets in Australia, 38.6% compared with 25.2%, and a higher proportion also held significant assets in their country of birth, 43.8% compared with 37.9%. A higher proportion of nurse households owned land in their country of birth: 42.5% compared with 35.1%. In terms of family ties to the country of birth, a significantly higher proportion of nurse households had hosted visitors from home in the last year, 33.3% compared with 26.2% of all households. The identical proportion of nurse and other households (60.8%) had at least one living parent or parent-in-law still living in their country of birth.</p>
               <p>That nurse households earned significantly higher incomes than other migrant households could reflect the occupational status of their spouses. However, as the data in Table <tblr tid="T3">3</tblr> show, this is clearly not the case for either nurse heads of household (HOH) or non-heads.</p>
               <tbl id="T3">
                  <title>
                     <p>Table 3</p>
                  </title>
                  <caption>
                     <p>Occupational status of nurses' spouses</p>
                  </caption>
                  <tblbdy cols="9">
                     <r>
                        <c ca="center">
                           <p>
                              <b>(n = 1156)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Manag/ Prof</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Admin/ Cleric</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Skilled Labour</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Labour</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Hsewk</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Unspec</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Unemp/Retired</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>
                              <b>Student</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="9">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>Nurse non-HOH (n = 100)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>8.0%</p>
                        </c>
                        <c ca="right">
                           <p>9.0%</p>
                        </c>
                        <c ca="right">
                           <p>25.0%</p>
                        </c>
                        <c ca="right">
                           <p>52.0%</p>
                        </c>
                        <c ca="right">
                           <p>0.0%</p>
                        </c>
                        <c ca="right">
                           <p>0.0%</p>
                        </c>
                        <c ca="right">
                           <p>4.0%</p>
                        </c>
                        <c ca="right">
                           <p>2.0%</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>Nurse HOH (n = 19)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>10.5%</p>
                        </c>
                        <c ca="right">
                           <p>21.1%</p>
                        </c>
                        <c ca="right">
                           <p>0.0%</p>
                        </c>
                        <c ca="right">
                           <p>47.4%</p>
                        </c>
                        <c ca="right">
                           <p>10.5%</p>
                        </c>
                        <c ca="right">
                           <p>0.0%</p>
                        </c>
                        <c ca="right">
                           <p>10.5%</p>
                        </c>
                        <c ca="right">
                           <p>0.0%</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>All Nurses (n = 119)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>8.4%</p>
                        </c>
                        <c ca="right">
                           <p>10.9%</p>
                        </c>
                        <c ca="right">
                           <p>21.0%</p>
                        </c>
                        <c ca="right">
                           <p>51.3%</p>
                        </c>
                        <c ca="right">
                           <p>1.7%</p>
                        </c>
                        <c ca="right">
                           <p>0.0%</p>
                        </c>
                        <c ca="right">
                           <p>5.0%</p>
                        </c>
                        <c ca="right">
                           <p>1.7%</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>Other HOH (n = 1137)</b>
                           </p>
                        </c>
                        <c ca="right">
                           <p>7.1%</p>
                        </c>
                        <c ca="right">
                           <p>12.7%</p>
                        </c>
                        <c ca="right">
                           <p>15.9%</p>
                        </c>
                        <c ca="right">
                           <p>34.1%</p>
                        </c>
                        <c ca="right">
                           <p>2.3%</p>
                        </c>
                        <c ca="right">
                           <p>4.8%</p>
                        </c>
                        <c ca="right">
                           <p>20.8%</p>
                        </c>
                        <c ca="right">
                           <p>2.2%</p>
                        </c>
                     </r>
                  </tblbdy>
                  <tblfn>
                     <p>Table notes: HOH indicates respondent self-declared head of household. For nurse households the total sample is less than 153 (n = 119), as not all nurses were married or living with their spouse in Australia. Where the nurse is living with a parent, the occupational status of the parent head of household is reported in this table.</p>
                  </tblfn>
               </tbl>
               <p>Indeed, over 50% of nurses' spouses were unskilled labourers and only 8.4% of nurses' spouses had the equivalent status to that of a nurse (i.e. managerial/professional category). There is therefore good reason to assume that income and remittance levels of nurse households reflect the income levels of nurses rather than that of their spouses.</p>
            </sec>
         </sec>
         <sec>
            <st>
               <p>Determinants of remittances</p>
            </st>
            <sec>
               <st>
                  <p>Definition</p>
               </st>
               <p>Remittances can take different forms, some of which are not accounted for in the official balance of payments remittance estimates in either the sending or receiving country. Remittances are defined here as including the following forms of international resource transfer by the migrant household to households or other individuals and organisations overseas:</p>
               <p>(i) money transfers sent via the formal banking system to households;</p>
               <p>(ii) money transferred informally in cash (bills) or via an informal agent to households;</p>
               <p>(iii) the value (in Australia) of all goods sent to households;</p>
               <p>(iv) payments made by the migrant on behalf of households;</p>
               <p>(v) donations by the migrant to other institutions or organisations; and,</p>
               <p>(vi) deposits made into bank accounts held by the migrant overseas.</p>
               <p>Migrant transfers in-kind, mainly in the form of goods are usually sent to households as "gifts" or "personal effects", are often not recorded as imports and escape any duties. A significant amount of these end-up in informal sector flea-markets <abbrgrp><abbr bid="B12">12</abbr></abbrgrp>. Most such transfers would therefore be unrecorded, either as remittances or as imports, in the balance of payments statistics. Migrants also remit to other institutions and organisations, mainly churches <abbrgrp><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr></abbrgrp>. Donations are often collected by the churches in the host countries and are held in bank accounts there, to be transferred overseas or used to settle international payments on behalf of the church in the country of origin. If these transactions show up at all in the balance of payments records, they will not appear as migrants remittances.</p>
               <p>Migrants sometimes also make payments on behalf of relatives or others in their country of origin. These consist of payments for services such as insurance premiums paid to Australian or New Zealand-based companies, schooling and other educational expenses or, most commonly, payments for international airfares made directly to the airlines. In most instances these airfares enabled relatives to visit the migrants in their host countries. This usually also implies that all other travel costs and living expenses are born by the migrant. These too should be treated as effective "remittances" to the country of origin as they amount to foreign exchange transfers from the migrants to overseas residents for international travel. Such payments would appear neither as current account receipts nor as payments for overseas travel.</p>
               <p>Finally, migrants also transfer money to their country of origin for the purpose of acquiring assets there on their own behalf <abbrgrp><abbr bid="B16">16</abbr><abbr bid="B17">17</abbr></abbrgrp>. These could be financial savings deposits with banks, or other physical assets such as land, housing, farm equipment and supplies, inventories for small businesses, and so on. These transfers can be made directly and via the formal network, but are often undertaken indirectly via a third party or agent on an informal basis. The questionnaire was designed to capture all these diverse forms of remittances.</p>
            </sec>
            <sec>
               <st>
                  <p>Determinants</p>
               </st>
               <p>A range of characteristics can be expected to affect a migrant's remittance behaviour. Unfortunately, as Lucas and Stark noted almost two decades ago, it largely remains true that 'there is surprisingly little statistical evidence on the motives for remitting, and the few studies that have appeared are not couched in terms of testable hypotheses derived from a theoretical framework.' <abbrgrp><abbr bid="B18">18</abbr></abbrgrp>. It is therefore necessary to rely on a limited amount of empirical and theoretical work to identify possible variables for inclusion in a more formal, multivariate regression model.</p>
               <p>Two closely related motivational characteristics that stand out in other studies of Pacific island migrants are the strength of the migrant's ties to the home versus host community, and the migrant's intentions to return. Variables related to these which other studies have found to be significant include, (a) whether permanent residence had been gained (which, it could be argued, influences the probability of return migration); and, (b) whether former dependents had joined the migrants living overseas <abbrgrp><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr></abbrgrp>. Brown <abbrgrp><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp> found that the presence of a surviving parent or spouse in the home country increased the migrant's propensity to remit, while the larger the number of dependents of the migrant living in Australia, the less likely the migrant was to be remitting. Where both determining factors had occurred, remittances were virtually non-existent <abbrgrp><abbr bid="B21">21</abbr></abbrgrp>. Generally, as in the case of Fijians in Sydney <abbrgrp><abbr bid="B22">22</abbr></abbrgrp>, the level and regularity of remittances was found to be a positive function of intent to return. This is also well documented in the case of Tongans and Cook Islanders overseas <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>.</p>
               <p>Consequently migration decisions are shaped within a family context. Migrants leave to meet certain family expectations, one of which is the supply of remittances. A previous study showed that almost two-thirds of nurse migrants indicated that the opportunity to earn a higher income was a major reason for migration <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>. There is an expectation that migration will benefit extended households and even villages. Though greater ease of migration and a growing familiarity with external affairs have been amongst the factors contributing to an increase in individual, rather than family or lineage, decision-making, these expectations remain valid. Overall migration is directed at improving both the living standards of those who remain at home and the lifestyle and income of the migrants. More specifically, in rural areas and home islands, as in Tonga, 'migration and remittances...are perceived solely as means for improving family incomes and welfare rather than for direct or indirect national economic development' <abbrgrp><abbr bid="B19">19</abbr></abbrgrp>. Migration has rarely been an individual decision to meet individual goals, nor has it been dictated by national interests.</p>
               <p>The underlying economic rationale of migration is reflected in the household organisation of migration. Families in many respects operate on a world stage, so that the 'international scale of family operations, still tied to kin at home...would equal or exceed in value the Tongan national product' <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>. Extending from this notion Bertram has suggested that Tongan (and other similar) households are characterised 'by remittance transfers among various component parts of the 'transnational corporations of kin' which direct the allocation of each island's family labour around the regional economy' <abbrgrp><abbr bid="B26">26</abbr></abbrgrp>. Similarly Tongan 'families deliberate carefully about which members would be most likely to do well overseas and be reliable in sending remittances' <abbrgrp><abbr bid="B27">27</abbr><abbr bid="B28">28</abbr></abbrgrp> although there is, seemingly paradoxically, an accompanying shift towards individualism <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>. While all such statements have been made in the most general sense, and often on the basis of small undifferentiated samples, there is no reason to suppose that they do not apply to skilled workers, and hence to nurses. Indeed the evidence of the present analysis suggests that they almost certainly do apply to nurses.</p>
               <p>As family ties are important determinants of remittances, it is sometimes mistakenly believed that migrants are unlikely to remit for purposes other than altruism, where altruism is perceived as transfers for purposes of family consumption support. However, others have suggested that migrants' remittances are motivated by additional factors that could offset any weakening of such altruistic motives. Stark <abbrgrp><abbr bid="B30">30</abbr><abbr bid="B31">31</abbr></abbrgrp> and Lucas and Stark <abbrgrp><abbr bid="B18">18</abbr></abbrgrp>, for instance, have argued that migration decisions are best understood as part of the family's risk reduction or 'family co-insurance arrangement' which they liken to the portfolio-investment strategy of a firm and in which there is an intertemporal contractual agreement between the migrant and 'home' <abbrgrp><abbr bid="B32">32</abbr><abbr bid="B33">33</abbr></abbrgrp>. They argue that remittances are often a repayment of the expenditure by family on the migrant's education and are thus directly related to the migrant's educational level. Households may even consciously persuade and sponsor various members to migrate as insurance in times of hardship, and in anticipation of eventual repayment. Poirine <abbrgrp><abbr bid="B34">34</abbr></abbrgrp> and Brown and Poirine <abbrgrp><abbr bid="B35">35</abbr></abbrgrp> take this argument a step further, arguing that remittances often constitute part of an informal loan agreement between the migrant and non-migrant family members, through which the investment in the migrant's human capital is financed (the loan) and later repaid by the working migrant (the remittances). After the loan is repaid the migrant sometimes becomes a source of loan finance for investment in the education of the next generation of non-migrants, implying no tendency for remittances to decay.</p>
               <p>Self-interest can also play a part in the migrants' decision-making framework, either in terms of inheritance-seeking behaviour or as a rational investment. From studies of migrants in Botswana, India and the Philippines, Stark <abbrgrp><abbr bid="B30">30</abbr><abbr bid="B31">31</abbr></abbrgrp> found evidence of remittances which were motivated by 'tempered altruism or enlightened self-interest'. He suggested that 'considerations such as an aspiration to inherit, maintenance of rural investments, and the intentions to return mean that the migrant retains a vested interest in his original home beyond altruism' <abbrgrp><abbr bid="B31">31</abbr></abbrgrp>. An inheritance seeker will continue to remit in order to stay in favour with family.</p>
               <p>Migration and remittances also sometimes motivated by 'target saving', where migrants retain much of their savings with them in the host country, only remitting their accumulated savings on, or over a period of time shortly before, their final return <abbrgrp><abbr bid="B33">33</abbr><abbr bid="B37">37</abbr></abbrgrp>. In such cases the remittance profile would be positively sloped over the latter part of the migrant's stay. Thus for overseas Pakistanis, where the probability of returning was extremely high, remittance levels did not decline <abbrgrp><abbr bid="B38">38</abbr></abbrgrp>. Especially where a migrant is intending to return home to retire, remittances of accumulated savings would not necessarily take the form of one lump-sum transfer at the end of the migrant's period of absence, but still be concentrated over a number of years prior to the migrant's retirement. Stark <abbrgrp><abbr bid="B30">30</abbr></abbrgrp> and Macpherson <abbrgrp><abbr bid="B39">39</abbr></abbrgrp> have suggested that, in this case, migrants will transfer savings into long-term assets such as land, housing or livestock, and possibly other community or "social" assets with a view to enhancing their prestige or political influence in the 'home' community. Remittance behaviour that is motivated by this form of investment may continue independently of altruistic family consumption support.</p>
               <p>In other contexts migrants sometimes evolve into small entrepreneurs. Studies in the Caribbean Basin countries found strong links between remittances and small business development in the remittance-receiving countries, that were indicative of at least some investment-motivated behaviour <abbrgrp><abbr bid="B40">40</abbr></abbrgrp> In at least one Punjabi village there has been an evolution of remittance use beyond altruistic family support into a 'business investment stage' <abbrgrp><abbr bid="B41">41</abbr></abbrgrp>. For both Samoa and Tonga migrants are motivated to remit for reasons of saving and investment <abbrgrp><abbr bid="B15">15</abbr></abbrgrp>. Remittances in kind and the practice of selling remitted goods as part of an informal international business operation are also an important aspect of remittances by Tongan migrants <abbrgrp><abbr bid="B12">12</abbr></abbrgrp>. Such behaviour emphasises the economic role of the Pacific transnational corporation of kin. In another study, using an econometric analysis of secondary data on savings and real interest rate differentials, Tongan and Samoan migrants' remittances were responsive to financial incentives in the remittance-receiving countries <abbrgrp><abbr bid="B42">42</abbr></abbrgrp>. This suggests that remittances serve as a source of loanable funds and are potentially responsive to changes in interest rate differentials.</p>
               <p>Gender plays an important role in remittances. Virtually without exception, where there are data, women tend to be more frequent remitters, although they may lack the earnings capacity to send the same amount as men. In a number of places, including Samoa, women are specifically referred to as the most reliable remitters <abbrgrp><abbr bid="B43">43</abbr></abbrgrp>. Amongst Auckland Tongans non-remitters were much more likely to be males; although the average sum sent by men was higher than that of women, the latter sent 15% of their net income, compared with men, who sent 11% <abbrgrp><abbr bid="B44">44</abbr></abbrgrp>. The same kind of situation occurs in other Polynesian contexts and has been attributed to Polynesian social structures, with women having greater responsibility for the maintenance of the household. Women are argued to have a much better understanding of household needs throughout the Pacific <abbrgrp><abbr bid="B22">22</abbr></abbrgrp> and are more likely to respond to those perceived needs. It might therefore be expected that nurses, who are predominantly female, will be more reliable senders of remittances.</p>
               <p>There is also some evidence from another study of Pacific island nurses that would suggest that nurses are more likely to be altruistically inclined than others. A survey of Tongan and Samoan nurses within the Pacific <abbrgrp><abbr bid="B24">24</abbr></abbrgrp> demonstrated that nurses displayed a higher level of altruism, in terms of why they entered the profession. Out of a sample of 34 Samoan nurses some 23 stated that they enjoyed being able to help people and 17 valued the opportunity to competently care for their families. Indeed, family was the main reason for nurses entering the profession, with 29 having entered in order to care for members of their family. From a similar sample of 30 nurses in Tonga, some 28 had entered the profession primarily to care for their families. In both Tonga and Samoa income was not a primary consideration for choice of occupation. While these samples are obviously different from the migrant nurses discussed here, it is unlikely that migrant nurses are less altruistically inclined.</p>
               <p>Irrespective of what motivates remittances, the propensity to remit and the level are influenced by the capacity of migrants to save. This depends largely on the migrant's income and net wealth situation, taking into account the number of dependents in the migrant household. In the empirical sections that follow an attempt is made to analyse Tongan and Samoan migrants' remittances in terms of a number of characteristics identified here as most likely to affect their motivation and capacity to remit.</p>
            </sec>
            <sec>
               <st>
                  <p>Remittances over time</p>
               </st>
               <p>There has always been concern that remittances decline over time, in total and from particular households and individuals, due to lower migration rates, recession and a decrease in migrants' willingness to remit <abbrgrp><abbr bid="B44">44</abbr><abbr bid="B46">46</abbr></abbrgrp><abbrgrp><abbr bid="B47">47</abbr><abbr bid="B48">48</abbr></abbrgrp><abbrgrp><abbr bid="B29">29</abbr><abbr bid="B59">59</abbr></abbrgrp>. An important issue in the present context is whether per capita remittance levels will decline as the nurses' length of absence increases and ties to their countries of origin weaken. Furthermore it has been suggested that, even with continued migration, the anticipated decline in remittance rates is likely to occur due to family reunification and greater integration of the migrants in the host communities. This process, it is argued, reduces migrants' ability and willingness to remit: ability because of the increased number of dependents now living in the migrants' households, and willingness because of fewer kinship ties at home. Since migration by Pacific islanders is generally long-term, it would then follow that the aggregate level of remittances will also decline over time, unless the rate of new migration is sufficient to offset declining average remittance levels among the stock of "older" migrants.</p>
               <p>A belief in remittance decay at the level of the individual migrant is perhaps to be expected. The longer the migrant is away, social ties and distant perceptions of needs and wants are likely to decline. Successful migrants may be followed by others from the same family with perhaps greater commitment. Initial savings targets (where they existed) may have been met and investment in the host, rather than source, country seem to be more rational as the probability of return declines. Although migrants face a life cycle of obligations to their home areas, these obligations are likely to lose their immediacy, to compete with new obligations and to be increasingly ignored. Samoan migrants who are seemingly permanent residents overseas are under less pressure to remit as their village commitments become less intense and less significant <abbrgrp><abbr bid="B43">43</abbr></abbrgrp> and they acquire financial commitments in their host country. On the other hand it has been suggested that the peculiarities of the 'complex inter-relationships and social obligation patterns of the islanders' could imply a continuation of remittances by permanent migrants over the longer term, albeit at possibly lower levels <abbrgrp><abbr bid="B50">50</abbr></abbrgrp>.</p>
               <p>Advocates of the remittance decay hypothesis in the Pacific draw support for their arguments mainly from studies of migrants in other countries. Thus Forsyth's <abbrgrp><abbr bid="B3">3</abbr></abbrgrp> study postulated a remittance decay function for the South Pacific based largely on evidence from an OECD study of remittance behaviour in Europe <abbrgrp><abbr bid="B51">51</abbr></abbrgrp>. The longer the duration of the migrants' stay abroad, and the greater the associated decline in the number of dependents at 'home', the weaker migrants' motivations to remit are assumed to become, hence sustained high rates of remittance tend to be characteristic of migrants who intend staying in the host [country] for a relatively brief period and then returning home.... But such rates are unlikely to be sustained if the period of residence is extended ... [which] suggests a profile over time ... with remittances reaching a peak soon after arrival in the host country then gradually declining <abbrgrp><abbr bid="B3">3</abbr></abbrgrp>.</p>
               <p>However other studies have found little evidence of remittance decay. Standing <abbrgrp><abbr bid="B52">52</abbr></abbrgrp> cited three studies of Indian migrants which revealed that the level of their remittances did not decline with time, but rather plateaued at a positive and constant level.</p>
               <p>Until recently there as been only limited data on which to conduct further investigation, beyond simple extrapolations based on unreliable, secondary time series data and other evidence of a more anecdotal nature. Remarkably little is known about Pacific island migrant communities in Australia and elsewhere, in terms of demography, education and occupation levels, socio-economic status, and their remittance behaviour and its correlates. Since remittances can take many forms, including informal transfers in cash or in-kind, and can pass through many different channels and networks, there are clear obstacles to making definitive assessments of remittance behaviour. This is not to deny the importance of other work that has been attempted in recent years. Unfortunately, the available data remain fragmentary and often inadequate for statistical analysis. Most existing studies were undertaken on small sample surveys among particular pockets of Pacific island migrants, where the sample size was constrained by limited budgets. Consequently, previous studies have failed to produce data sets large enough for rigorous statistical analysis. Nonetheless Vete <abbrgrp><abbr bid="B21">21</abbr></abbrgrp> found that for Tongans in New Zealand there was a correlation between the number of dependents in Tonga and the amount of remittances. Broadly the same pattern was found amongst Tongans in Sydney. The level of remittances increased during the first few years of migration, up to around seven years, but then began to decline, although migrants who had been in Australia for more than 18 years still sent remittances <abbrgrp><abbr bid="B19">19</abbr></abbrgrp>. On the other hand, Loomis found little evidence of remittance decay among Cook Islanders in New Zealand <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>. All of these studies were both based on small samples which cannot be considered statistically reliable, and relied on cross-tabulations which did not isolate the effects of other variables from the effect of the migrant's duration of absence.</p>
               <p>From the same survey data that this present study uses, Brown subjected the remittance-decay hypothesis to rigorous empirical investigation <abbrgrp><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp>. Remittance decay was examined empirically at two levels. First, time profiles of average remittance levels and propensities were constructed from estimates for different cohorts of migrants, based on the number of years since first migrating. These descriptive statistics are presented here in tabular and graphical form. Second, a remittance function was estimated for each migrant community, using appropriate econometric techniques, and which attempts to separate the effect of time from all other influences on remittance behaviour.</p>
               <p>These studies found little evidence to support the remittance decay hypothesis; that is the survey data did not indicate a significant decline in remittances the longer the time period that migrants spent away from home. This is important, as it indicates that there is no need for the numbers of new migrants to continually increase to maintain the same level of remittances to the island economies. It is therefore worth testing whether the same holds for nurse households. This is tested first, in the following results section, using descriptive data and plots of mean remittance levels against migrants' length of absence from home, and then using appropriate econometric methods.</p>
            </sec>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Results and discussion</p>
         </st>
         <sec>
            <st>
               <p>Descriptive statistics</p>
            </st>
            <p>Remittance levels are reported here using two different bases: a "Sample Average" and a "Remitters' Average". The former refers to the average for the entire sample, including those who did not remit at all during the previous financial year. The "Remitters' Average" is based on the total number of respondents who sent remittances in at least one of the above identified forms, thus it excludes those who did not remit in any form.</p>
            <p>From Table <tblr tid="T2">2</tblr> it can be seen that a significantly higher proportion of nurse households sent remittances home over the preceding months (93.4% compared with 82.1%), and, on average remitted more, A$3,196 compared with A$2,585 for other migrant households. (As the survey was undertaken in 1994, all Australian Dollar (A$) values reported here are in terms of constant 1994 prices. In terms of 2003 prices, the comparable sums would be A$3952 (US$2688) and A$3197 (US$2174)). Using the mean level of remittances for nurse households (A$3,196 in 1994 prices) and assuming this level is sustained for the mean number of years of absence for nurse households (11.5 years), the cumulative value of remittances would amount to A$36,750 (in 1994 prices) per nurse household during their stay overseas (<it>On an undiscounted basis, but also bearing in mind that these are constant 1994 values</it>). This sum is likely to exceed the training cost of nurses within Tonga and Samoa. Given the shortage of nurses in Australia and New Zealand, and therefore the high demand for immigrant nurses, investment by Pacific island governments and families in nurse training constitutes a rational use of economic resources.</p>
            <p>These data suggest that nurse households enjoy higher incomes, own more assets, and remit more than other migrants. However, it is also noteworthy that the mean value of nurse households' average propensity to remit (remittances as a percentage of household income) is the same as other households (9.5%). That is, despite earning larger incomes, nurse households remit the same proportion of those incomes.</p>
            <p>Table <tblr tid="T4">4</tblr> disaggregates the sample into six cohorts; 0 to 5 years; 5 to 10 years; 10 to 15 years; 15 to 20 years; 20 to 25 years; and 25 years or more, and is then split into nurse and other households.</p>
            <tbl id="T4">
               <title>
                  <p>Table 4</p>
               </title>
               <caption>
                  <p>Remittances by years of absence</p>
               </caption>
               <tblbdy cols="7">
                  <r>
                     <c ca="left">
                        <p>
                           <b>COHORT</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>0&#8211;5 years</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>5&#8211;10 years</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>10&#8211;15 years</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>15&#8211;20 years</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>20&#8211;25 years</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>>25 years</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="7">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Nurses (n=) (% total group)</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>7 (0.046)</p>
                     </c>
                     <c ca="left">
                        <p>31 (0.203)</p>
                     </c>
                     <c ca="left">
                        <p>52 (0.340)</p>
                     </c>
                     <c ca="left">
                        <p>26 (0.170)</p>
                     </c>
                     <c ca="left">
                        <p>22 (0.144)</p>
                     </c>
                     <c ca="left">
                        <p>15 (0.098)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Others (n=) (% total group)</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>62 (0.182)</p>
                     </c>
                     <c ca="left">
                        <p>78 (0.229)</p>
                     </c>
                     <c ca="left">
                        <p>32 (0.094)</p>
                     </c>
                     <c ca="left">
                        <p>36 (0.106)</p>
                     </c>
                     <c ca="left">
                        <p>50 (0.147)</p>
                     </c>
                     <c ca="left">
                        <p>83 (0.243)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Remitting households (%)</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Nurses</p>
                     </c>
                     <c ca="left">
                        <p>0.857</p>
                     </c>
                     <c ca="left">
                        <p>0.967</p>
                     </c>
                     <c ca="left">
                        <p>0.981</p>
                     </c>
                     <c ca="left">
                        <p>0.885</p>
                     </c>
                     <c ca="left">
                        <p>0.905</p>
                     </c>
                     <c ca="left">
                        <p>0.867</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Others</p>
                     </c>
                     <c ca="left">
                        <p>0.823</p>
                     </c>
                     <c ca="left">
                        <p>0.833</p>
                     </c>
                     <c ca="left">
                        <p>0.846</p>
                     </c>
                     <c ca="left">
                        <p>0.813</p>
                     </c>
                     <c ca="left">
                        <p>0.725</p>
                     </c>
                     <c ca="left">
                        <p>0.904</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Remittances/remitter (A$)</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Nurses</p>
                     </c>
                     <c ca="left">
                        <p>3416.7</p>
                     </c>
                     <c ca="left">
                        <p>3713.8</p>
                     </c>
                     <c ca="left">
                        <p>3521.6</p>
                     </c>
                     <c ca="left">
                        <p>3378.3</p>
                     </c>
                     <c ca="left">
                        <p>3068.4</p>
                     </c>
                     <c ca="left">
                        <p>2984.6</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Others</p>
                     </c>
                     <c ca="left">
                        <p>1729.4</p>
                     </c>
                     <c ca="left">
                        <p>2996.5</p>
                     </c>
                     <c ca="left">
                        <p>3321.4</p>
                     </c>
                     <c ca="left">
                        <p>3263.1</p>
                     </c>
                     <c ca="left">
                        <p>3765.7</p>
                     </c>
                     <c ca="left">
                        <p>2656.0</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Remittances/household (A$)</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Nurses</p>
                     </c>
                     <c ca="left">
                        <p>2928.6</p>
                     </c>
                     <c ca="left">
                        <p>3590.0</p>
                     </c>
                     <c ca="left">
                        <p>3453.9</p>
                     </c>
                     <c ca="left">
                        <p>2988.5</p>
                     </c>
                     <c ca="left">
                        <p>2776.2</p>
                     </c>
                     <c ca="left">
                        <p>2586.7</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Others</p>
                     </c>
                     <c ca="left">
                        <p>1422.6</p>
                     </c>
                     <c ca="left">
                        <p>2497.1</p>
                     </c>
                     <c ca="left">
                        <p>2811.2</p>
                     </c>
                     <c ca="left">
                        <p>2652.2</p>
                     </c>
                     <c ca="left">
                        <p>2729.5</p>
                     </c>
                     <c ca="left">
                        <p>2400.0</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>
                           <b>Household Income(A$)</b>
                        </p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Nurses</p>
                     </c>
                     <c ca="left">
                        <p>29728.6</p>
                     </c>
                     <c ca="left">
                        <p>33953.3</p>
                     </c>
                     <c ca="left">
                        <p>36586.5</p>
                     </c>
                     <c ca="left">
                        <p>40087.5</p>
                     </c>
                     <c ca="left">
                        <p>41257.1</p>
                     </c>
                     <c ca="left">
                        <p>43020.0</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Others</p>
                     </c>
                     <c ca="left">
                        <p>22465.0</p>
                     </c>
                     <c ca="left">
                        <p>27537.4</p>
                     </c>
                     <c ca="left">
                        <p>31427.5</p>
                     </c>
                     <c ca="left">
                        <p>30613.3</p>
                     </c>
                     <c ca="left">
                        <p>32171.2</p>
                     </c>
                     <c ca="left">
                        <p>32280.8</p>
                     </c>
                  </r>
               </tblbdy>
            </tbl>
            <p>For each cohort and category the following variables are shown: percentage who remitted; mean remittances per remitting household; mean remittances per migrant household; household income. These data are then shown plotted in Figures <figr fid="F1">1</figr> and <figr fid="F2">2</figr>, where Figure <figr fid="F1">1</figr> shows the time profile of remitting households and remittance levels while Figure <figr fid="F2">2</figr> shows the time profile of income, remittance levels, and average propensities to remit.</p>
            <fig id="F1">
               <title>
                  <p>Figure 1</p>
               </title>
               <caption>
                  <p>Remitting migrants and remittance levels by length of absence</p>
               </caption>
               <text>
                  <p>Remitting migrants and remittance levels by length of absence</p>
               </text>
               <graphic file="1478-4491-2-2-1"/>
            </fig>
            <fig id="F2">
               <title>
                  <p>Figure 2</p>
               </title>
               <caption>
                  <p>Income levels and remittance propensities by length of absence</p>
               </caption>
               <text>
                  <p>Income levels and remittance propensities by length of absence</p>
               </text>
               <graphic file="1478-4491-2-2-2"/>
            </fig>
            <p>It is clear from the first chart in Figure <figr fid="F1">1</figr> that for all cohorts, except those who had been in Australia for more than 25 years, a higher proportion of nurse households than non-nurse households remitted. However, the graph suggests that the proportion of remitting nurse households declines slightly with length of absence, and converges with others who had been away for 25 or more years. The second chart in Figure <figr fid="F1">1</figr> suggests that among the remitting households, nurse households are more generous remitters than others, especially among the younger cohorts. Again there is a convergence of remittance levels once the migrant has been away 20 or more years. The combined effects are shown in the third chart of Figure <figr fid="F1">1</figr> where the profiles of remittance levels per migrant household are plotted. This chart shows more clearly a tendency for nurse household remittances to converge with other households after a 20-year absence.</p>
            <p>The charts in Figure <figr fid="F2">2</figr> suggest that the higher remittance levels of nurse households possibly reflect the higher mean income levels of nurse households for all cohorts (see the first chart in Figure <figr fid="F2">2</figr>). Indeed, when plotted in relation to remittance levels (second chart in Figure <figr fid="F2">2</figr>) it can be seen that in terms of the proportion of income remitted, it would be incorrect to conclude that nurse households are more generous than others (third chart in Figure <figr fid="F2">2</figr>). There is a steep decline in remittance propensity after a 10-year absence. While nurses who have been away for 15 years or less have a higher average propensity to remit, the opposite is true for those who have been away for longer than 15 years. Nurse households' average propensity to remit falls to 6% for the 25-years and- more cohort, compared with 7.5% for other households.</p>
            <p>These findings suggest that while remittance levels appear to be higher among nurse households, and do not decrease significantly with length of absence from home, when their relatively higher income levels are taken into account, nurse households' propensity to remit declines faster than other households with length of absence, falling below other households after a 15-year length of absence. However, these tentative findings should be treated with caution as they are based on a comparison of sample means and, as with all univariate analyses, it is not possible to control for the effects of variables other than the migrants' occupation on remittance behaviour.</p>
            <p>As previously argued it is necessary to isolate three different effects: the <it>size effect</it>, the <it>composition effect</it>, and the <it>time effect </it><abbrgrp><abbr bid="B11">11</abbr></abbrgrp>. It is possible that the remittance levels of the different time cohorts are influenced by compositional effects. In other words, it cannot be assumed that the compositional structure of each cohort is the same. Differences in average remittance levels between time cohorts cannot necessarily be attributable to differences in the average length of absence between the cohorts. Indeed, the volatility of the plotted remittance functions in Figures <figr fid="F1">1</figr> and <figr fid="F2">2</figr> suggests that factors other than length of absence could be important determinants of remittances. To identify the most important compositional characteristics, and then assess the significance of length of absence while controlling for all other potential determinants of remittances, a multivariate regression analysis was undertaken.</p>
         </sec>
         <sec>
            <st>
               <p>Multivariate analysis</p>
            </st>
            <p>From the earlier discussion of remittance decay and the literature on the motivations and determinants of remittances, three broad categories of factors affecting a migrant's remittance behaviour can be distinguished, apart from the affect of duration of absence alone. First, there are factors that influence the strength of the <it>demand-side </it>pressures on a migrant from the receiving end, particularly family and community ties. Second, there are the <it>supply-side </it>factors that affect the migrant's capacity to remit, such as income and wealth. Third, there are the various behavioural characteristics that influence the migrant's motivations to remit, such as altruism or self-interest.</p>
            <p>Two <it>demand side </it>variables are included in the model:</p>
            <p>(i) whether the head of household and spouse still have at least one living parent in country of origin (<it>PARENT</it>);</p>
            <p>(ii) whether the household had received house-guests to stay during the preceding 12 months which is an indicator of continued family or community ties <it>(VISITOR).</it></p>
            <p>Four <it>supply-side </it>variables are included in the model:</p>
            <p>(i) Household income level, expressed in 1994 Australian dollars, after tax, as declared by the head of household for the 12 month period preceding the survey <it>(INCOME)</it>;</p>
            <p>(ii) To allow for a non-linear (quadratic) specification of the income relationship income squared is also included <it>(INC2);</it></p>
            <p>(iii) Whether the migrant held significant assets in Australia <it>(OWNAUS);</it></p>
            <p>(iv) The number of persons living in the household <it>(HOUSNUM)</it>.</p>
            <p>Four behavioural or motivational variables are included in the model:</p>
            <p>(i) whether the head of household intended to return to his or her country of origin which if significant and positive indicates that those planning to return one day remit more than those who don't <it>(INTENT)</it>;</p>
            <p>(ii) whether the head of household owned land in his or her country of origin, which would be significant and positive if the migrant's remittances are motivated by continued maintenance of land assets at home <it>(LAND)</it>;</p>
            <p>(iii) whether the head of household owned non-land assets in his or her country of origin, which would be significant and positive if the migrant's remittances are motivated by business investment <it>(OWNOVS)</it>;</p>
            <p>(iv) to capture any unobserved differences in motivations to remit between Tongans and Samoans a dummy variable distinguishing Tongan households is included <it>(TONGAN)</it>.</p>
            <sec>
               <st>
                  <p>Length of absence</p>
               </st>
               <p>The length of absence of the migrant from home is covered by three variables:</p>
               <p>(i) the number of months since the migrant first emigrated, which if significant and negative would indicate underlying remittance decay <it>(TIME)</it>;</p>
               <p>(ii) to allow for a non-linear (quadratic) relationship TIME squared is included <it>(TIME2)</it></p>
               <p>(iii) as the variable <it>PARENT </it>is likely to capture some of the effects of time away, with the likelihood of a surviving parent decreasing with the passage of time, an interaction variable with <it>PARENT </it>and <it>TIME was also </it>included <it>(PARTIME)</it></p>
               <p>A generalized Tobit model using a Heckman two-stage sample selection method was used to estimate remittances, as the dependent variable <it>(REMITTANCES) </it>is a mixture of discrete (zero remittances) and continuous (positive remittances) parts and is therefore censored at zero. The main purpose of the generalized Tobit regression analysis used here is: (i) to identify which of the variables are most significant determinants of remittance behaviour, where remittance behaviour consists of two elements; whether or not to remit, and, if so, how much to remit; and, (ii) to measure the effect on remittance levels, in monetary terms, of changes in the most significant migrant characteristics. The dependent variable in the regression model is the value of remittances in 1994 Australian dollars over the 12-month period preceding the survey.</p>
               <p>The model and the regression results from the earlier analysis for the whole sample are reported in detail in Brown <abbrgrp><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp>. In these studies it was found that migrants with higher income, a parent or spouse at home, or who hosted a visitor from home during the year, remitted more, confirming that remittance behaviour is affected by both supply and demand-side variables. It was also found that migrants who intend to return remit more than those who do not. On the demand side it is evident that remittances are positively related to the existence of a surviving parent or spouse in the migrant's home country, and to the variable <it>VISITOR </it>which is a proxy for the strength of ties to the home community. No evidence was found of remittance decay (the time away from home variables were not significant).</p>
               <p>As the purpose of this model is to compare the behaviour of one sub-group, nurses, with the rest of the sample, each variable was interacted with the variable <it>NURSE </it>to gauge the significance and extent of any differences between nurses and others in relation to remittance behaviour (i.e. <it>NINCOME, NTIM, NTONGA, etc</it>). The results of the regression model are reported in Table <tblr tid="T5">5</tblr>.</p>
               <tbl id="T5">
                  <title>
                     <p>Table 5</p>
                  </title>
                  <caption>
                     <p>Generalized Tobit regression results</p>
                  </caption>
                  <tblbdy cols="5">
                     <r>
                        <c>
                           <p/>
                        </c>
                        <c cspan="2" ca="left">
                           <p>
                              <b>Binomial Probit Model (Dep. Var. = REMITTER)</b>
                           </p>
                        </c>
                        <c cspan="2" ca="left">
                           <p>
                              <b>Sample Selection Model (Dep. Var = REMITTANCES)</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="5">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>Variable</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Coefficient</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Std. Error</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Coefficient</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Std. Error</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="5">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>Constant</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>-0.1137</p>
                        </c>
                        <c ca="left">
                           <p>0.1131</p>
                        </c>
                        <c ca="left">
                           <p>408.8452</p>
                        </c>
                        <c ca="left">
                           <p>1020.8262</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>INCOME</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>-0.0715**</p>
                        </c>
                        <c ca="left">
                           <p>0.0225</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>INC2</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>0.0002**</p>
                        </c>
                        <c ca="left">
                           <p>.0003E-04</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NINCOME</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>0.0986**</p>
                        </c>
                        <c ca="left">
                           <p>0.0356</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NINC2</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>_</p>
                        </c>
                        <c ca="left">
                           <p>-0.0000**</p>
                        </c>
                        <c ca="left">
                           <p>0.0004E-03</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>TIM</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>-4.79E-04</p>
                        </c>
                        <c ca="left">
                           <p>9.14E-04</p>
                        </c>
                        <c ca="left">
                           <p>20.1092**</p>
                        </c>
                        <c ca="left">
                           <p>5.9610909</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>TIM2</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>2.99E-03</p>
                        </c>
                        <c ca="left">
                           <p>2.76E-03</p>
                        </c>
                        <c ca="left">
                           <p>-0.0733**</p>
                        </c>
                        <c ca="left">
                           <p>0.0205</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NTIM</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.6696</p>
                        </c>
                        <c ca="left">
                           <p>0.11882962</p>
                        </c>
                        <c ca="left">
                           <p>-35.2967**</p>
                        </c>
                        <c ca="left">
                           <p>12.89333</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NTIM2</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>-0.1695</p>
                        </c>
                        <c ca="left">
                           <p>0.4610</p>
                        </c>
                        <c ca="left">
                           <p>0.1040**</p>
                        </c>
                        <c ca="left">
                           <p>0.0360</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>TONGA</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.8366**</p>
                        </c>
                        <c ca="left">
                           <p>9.87E-02</p>
                        </c>
                        <c ca="left">
                           <p>469.7008</p>
                        </c>
                        <c ca="left">
                           <p>389.2360</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NTONGA</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.9230</p>
                        </c>
                        <c ca="left">
                           <p>0.4580</p>
                        </c>
                        <c ca="left">
                           <p>605.0697</p>
                        </c>
                        <c ca="left">
                           <p>802.4204</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>PARENT</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.2556**</p>
                        </c>
                        <c ca="left">
                           <p>0.1304</p>
                        </c>
                        <c ca="left">
                           <p>969.4765*</p>
                        </c>
                        <c ca="left">
                           <p>430.2114</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NPARENT</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>-0.1775*</p>
                        </c>
                        <c ca="left">
                           <p>0.4183</p>
                        </c>
                        <c ca="left">
                           <p>271.9248</p>
                        </c>
                        <c ca="left">
                           <p>596.5333</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>OWNAUS</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.3318**</p>
                        </c>
                        <c ca="left">
                           <p>0.1223</p>
                        </c>
                        <c ca="left">
                           <p>215.1771</p>
                        </c>
                        <c ca="left">
                           <p>280.3138</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NOWNAUS</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>-0.81556</p>
                        </c>
                        <c ca="left">
                           <p>0.4290</p>
                        </c>
                        <c ca="left">
                           <p>65.47659</p>
                        </c>
                        <c ca="left">
                           <p>635.9042</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>OWNOVS</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.6310*</p>
                        </c>
                        <c ca="left">
                           <p>0.1323</p>
                        </c>
                        <c ca="left">
                           <p>649.2868*</p>
                        </c>
                        <c ca="left">
                           <p>266.8714</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NOWNOVS</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.5725</p>
                        </c>
                        <c ca="left">
                           <p>0.5352</p>
                        </c>
                        <c ca="left">
                           <p>-455.771</p>
                        </c>
                        <c ca="left">
                           <p>663.6212</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>VISITOR</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.2108**</p>
                        </c>
                        <c ca="left">
                           <p>0.1758</p>
                        </c>
                        <c ca="left">
                           <p>867.0324**</p>
                        </c>
                        <c ca="left">
                           <p>328.8612</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>NVISITOR</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>-0.0005</p>
                        </c>
                        <c ca="left">
                           <p>0.0009</p>
                        </c>
                        <c ca="left">
                           <p>849.3219</p>
                        </c>
                        <c ca="left">
                           <p>609.4681</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>INTENT</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>2.99E-03</p>
                        </c>
                        <c ca="left">
                           <p>0.0028</p>
                        </c>
                        <c ca="left">
                           <p>1069.797**</p>
                        </c>
                        <c ca="left">
                           <p>291.2985</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>LAMBDA</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>0.6696</p>
                        </c>
                        <c ca="left">
                           <p>0.1188</p>
                        </c>
                        <c ca="left">
                           <p>408.8452</p>
                        </c>
                        <c ca="left">
                           <p>1020.8262</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>
                              <b>Log Likelihood</b>
                           </p>
                        </c>
                        <c>
                           <p/>
                        </c>
                        <c ca="left">
                           <p>-464.9833</p>
                        </c>
                        <c>
                           <p/>
                        </c>
                        <c ca="left">
                           <p>-9564.9332</p>
                        </c>
                     </r>
                     <r>
                        <c