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The impact of health worker migration on development dynamics: evidence of wealth-effects from Africa

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  • Simplice A, Asongu

Abstract

This paper examines three relevant hypotheses on the incidence of health worker migration on human development and economic prosperity (at macro and micro levels) in Africa. Owing to lack of relevant data on Health Human Resource(HHR) migration for the continent, the subject matter has remained empirically void over the last decades despite the acute concern of health professional emigration. Using quantile regression, the following findings have been established. (1) The effect of HHR emigration is positive (negative) at low (high) levels of economic growth. (2) HHR emigration improves (mitigates) human development (GDP per capita growth) in low (high) quantiles of the distribution. (3)Specific differences in effects are found in top quantiles of human development and low quantiles of GDP per capita growth where the physician (nurse) emigration elasticities of development are positive (negative) and negative (positive) respectively. As a policy implication blanked health-worker emigration control policies are unlikely to succeed across countries with different levels of human development and economic prosperity. Hence the policies should be contingent on the prevailing levels of development and tailored differently across the most and least developed African countries.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 38189.

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Date of creation: 18 Apr 2012
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Handle: RePEc:pra:mprapa:38189

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Keywords: Welfare; Health; Human Capital; Migration;

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  1. Burnside, Craig & Dollar, David, 1997. "Aid, policies, and growth," Policy Research Working Paper Series 1777, The World Bank.
  2. Simplice A, Asongu, 2012. "Fighting corruption when existing corruption-control levels count : what do wealth-effects tell us in Africa?," MPRA Paper 42180, University Library of Munich, Germany.
  3. Asongu Simplice, 2012. "Reversed Economics and Inhumanity of Development Assistance in Africa," Working Papers 12/034, African Governance and Development Institute..
  4. Simplice A, Asongu, 2012. "Fighting corruption with cultural dynamics: when legal-origins, religious-influences and existing corruption-control levels matter," MPRA Paper 36893, University Library of Munich, Germany.
  5. Asongu Simplice, 2012. "Fighting corruption in Africa: do existing corruption-control levels matter?," Working Papers 12/012, African Governance and Development Institute..
  6. Billger, Sherrilyn M. & Goel, Rajeev K., 2009. "Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimates," Journal of Development Economics, Elsevier, vol. 90(2), pages 299-305, November.
  7. Simplice A. Asongu, 2013. "Investment And Inequality In Africa: Which Financial Channels Are Good For The Poor?," The African Finance Journal, Africagrowth Institute, vol. 15(2), pages 43-65.
  8. Stefania Albanesi, 2002. "Inflation and Inequality," Macroeconomics 0201002, EconWPA.
  9. Robert J. Barro, 1998. "Determinants of Economic Growth: A Cross-Country Empirical Study," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262522543, December.
  10. Simplice A, Asongu, 2010. "Bank efficiency and openness in Africa: do income levels matter?," MPRA Paper 27011, University Library of Munich, Germany.
  11. Michael A. Clemens & Gunilla Pettersson, 2006. "A New Database of Health Professional Emigration from Africa," Working Papers 95, Center for Global Development.
  12. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
  13. Michael Binder & Georgios Georgiadis, 2010. "Determinants of Human Development: Insights from State-Dependent Panel Models," Human Development Research Papers (2009 to present) HDRP-2010-24, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
  14. Simplice A, Asongu, 2012. "Fighting corruption when existing corruption-control levels count : what do wealth effects tell us?," MPRA Paper 36901, University Library of Munich, Germany.
  15. Okada, Keisuke & Samreth, Sovannroeun, 2012. "The effect of foreign aid on corruption: A quantile regression approach," Economics Letters, Elsevier, vol. 115(2), pages 240-243.
  16. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  17. Johnson, D. Gale, 2002. "Globalization: what it is and who benefits," Journal of Asian Economics, Elsevier, vol. 13(4), pages 427-439.
  18. Ales Bulir, 1998. "Income Inequality," IMF Working Papers 98/7, International Monetary Fund.
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Cited by:
  1. Simplice A. Asongu, 2013. "How Would Population Growth Affect Investment in the Future? Asymmetric Panel Causality Evidence for Africa," African Development Review, African Development Bank, vol. 25(1), pages 14-29, 03.
  2. Simplice A, Asongu, 2012. "Institutional benchmarking of foreign aid effectiveness in Africa," MPRA Paper 38095, University Library of Munich, Germany.
  3. Simplice A, Asongu, 2011. "Long-term effects of population growth on aggregate investment dynamics: selected country evidence for Africa," MPRA Paper 30128, University Library of Munich, Germany.
  4. Asongu Simplice, 2013. "Determinants of Health Professionals’ Migration in Africa: a WHO based Assessment," Working Papers 13/034, African Governance and Development Institute..

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