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How Do Factor Specificity and Emigration Make Income Inequality Worse in Developing Countries?

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  • Dambar Uprety

    (University of North Carolina Wilmington)

Abstract

Immigration policies in most developed countries are increasingly tilted toward skilled labor. Whether such policies hurt the sending countries is somewhat controversial. In this paper, we emphasize one aspect of skilled migrants’ effect, namely whether income inequality increases with migrants’ level of education in sending countries. Using pooled Gini coefficient from 1980 to 2010 data for 110 developing countries, the analysis finds that an emigration of unskilled labor produces an unfavorable effect on the wage inequality. That is, inequality increases with an increase in unskilled labor emigration from the country. However, there appears to be no effect of skilled emigration on inequality. A clearer understanding of the channels through which low-skilled migration will be detrimental for income inequality in developing countries may assist policymakers to craft appropriate policies to curtail low-skilled migration that would serve to improve equality. To the extent that inequality depresses (promotes) economic development, then emigration of low-skilled workers could impede (facilitate) economic growth.

Suggested Citation

  • Dambar Uprety, 2020. "How Do Factor Specificity and Emigration Make Income Inequality Worse in Developing Countries?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 783-798, December.
  • Handle: RePEc:spr:jqecon:v:18:y:2020:i:4:d:10.1007_s40953-020-00201-3
    DOI: 10.1007/s40953-020-00201-3
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    References listed on IDEAS

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    1. Albanesi, Stefania, 2007. "Inflation and inequality," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1088-1114, May.
    2. Anthony Edo & Farid Toubal, 2015. "Selective Immigration Policies and Wages Inequality," Review of International Economics, Wiley Blackwell, vol. 23(1), pages 160-187, February.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Andrew Mountford & Hillel Rapoport, 2016. "Migration Policy, African Population Growth and Global Inequality," The World Economy, Wiley Blackwell, vol. 39(4), pages 543-556, April.
    5. David Card, 2009. "Immigration and Inequality," American Economic Review, American Economic Association, vol. 99(2), pages 1-21, May.
    6. Mountford, Andrew & Rapoport, Hillel, 2011. "The brain drain and the world distribution of income," Journal of Development Economics, Elsevier, vol. 95(1), pages 4-17, May.
    7. Yabuuchi, Shigemi & Chaudhuri, Sarbajit, 2007. "International migration of labour and skilled-unskilled wage inequality in a developing economy," Economic Modelling, Elsevier, vol. 24(1), pages 128-137, January.
    8. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    9. Mark D. Partridge, 2006. "The Relationship between Inequality and Labor Market Performance: Evidence from U.S. States," Journal of Labor Research, Transaction Publishers, vol. 27(1), pages 1-20, January.
    10. Feenstra, Robert C. & Hanson, Gordon H., 1997. "Foreign direct investment and relative wages: Evidence from Mexico's maquiladoras," Journal of International Economics, Elsevier, vol. 42(3-4), pages 371-393, May.
    11. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    12. Dambar Uprety, 2017. "The impact of international trade on emigration in developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 26(8), pages 907-923, November.
    13. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    15. Dambar Uprety and Kevin Sylwester, 2017. "The Effect of Remittances upon Skilled Emigration: An Empirical Study," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 42(2), pages 1-15, June.
    16. Al-Marhubi, Fahim, 1997. "A note on the link between income inequality and inflation," Economics Letters, Elsevier, vol. 55(3), pages 317-319, September.
    17. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Skilled migration; Inequality; Gini coefficient;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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