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

  • Simplice A, Asongu

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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  1. Simplice A. Asongu, 2013. "Fighting Corruption when Existing Corruption-Control Levels Count: What do Wealth-Effects Tell us in Africa?," Institutions and Economies (formerly known as International Journal of Institutions and Economies), Faculty of Economics and Administration, University of Malaya, vol. 5(3), pages 53-74, October.
  2. Robert J. Barro, 1996. "Determinants of Economic Growth: A Cross-Country Empirical Study," NBER Working Papers 5698, National Bureau of Economic Research, Inc.
  3. Simplice A., Asongu, 2011. "Investment and inequality in Africa: which financial channels are good for the poor?," MPRA Paper 34990, University Library of Munich, Germany.
  4. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, 1.
  5. 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.
  6. 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.
  7. Michael A. Clemens & Gunilla Pettersson, 2006. "A New Database of Health Professional Emigration from Africa," Working Papers 95, Center for Global Development.
  8. Albanesi, Stefania, 2007. "Inflation and inequality," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1088-1114, May.
  9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  10. Asongu Simplice, 2010. "Bank Efficiency and Openness in Africa: Do Income Levels Matter?," Working Papers 10/001, African Governance and Development Institute., revised 18 Dec 2011.
  11. Simplice A, Asongu, 2012. "Fighting corruption in Africa: do existing corruption-control levels matter?," MPRA Paper 36900, University Library of Munich, Germany.
  12. By Ales BulÌr, 2001. "Income Inequality: Does Inflation Matter?," IMF Staff Papers, Palgrave Macmillan, vol. 48(1), pages 5.
  13. Simplice A, Asongu, 2012. "Reversed Economics and Inhumanity of Development Assistance in Africa," MPRA Paper 36542, University Library of Munich, Germany.
  14. Johnson, D. Gale, 2002. "Globalization: what it is and who benefits," Journal of Asian Economics, Elsevier, vol. 13(4), pages 427-439.
  15. Asongu Simplice, 2012. "Fighting corruption when existing corruption-control levels count : what do wealth effects tell us?," Working Papers 12/013, African Governance and Development Institute..
  16. 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.
  17. 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).
  18. Burnside, Craig & Dollar, David, 1997. "Aid, policies, and growth," Policy Research Working Paper Series 1777, The World Bank.
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