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Long-Term Benefits from Temporary Migration: Does the Gender of the Migrant Matter?

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  • Sanjaya DeSilva
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    Abstract

    Utilizing a nationally representative sample of households from Sri Lanka, this study examines gender differences in the long-term impact of temporary labor migration. We use a propensity score matching (PSM) framework to compare households with return migrants, households with current migrants, and equivalent nonmigrant households in terms of a variety of outcomes. Our results show that households that send women abroad are relatively poor and utilize migration to catch up with the average household, whereas sending a man abroad allows an already advantaged household to further strengthen their economic position. We also find that remittances from females emphasize investment in home improvements and acquisition of farm land and nonfarm assets, whereas remittances of men are channeled more toward housing assets and business ventures.

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    Bibliographic Info

    Paper provided by Levy Economics Institute in its series Economics Working Paper Archive with number wp_756.

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    Date of creation: Feb 2013
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    Handle: RePEc:lev:wrkpap:wp_756

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    Keywords: Migration; Remittances; Gender; Sri Lanka;

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    1. Gibson, John & McKenzie, David, 2009. "The microeconomic determinants of emigration and return migration of the best and brightest : evidence from the Pacific," Policy Research Working Paper Series 4965, The World Bank.
    2. Nava Ashraf & Diego Aycinena & Claudia MartĂ­nez & Dean Yang, 2011. "Remittances and the Problem of Control: A Field Experiment Among Migrants from El Salvador," Working Papers wp341, University of Chile, Department of Economics.
    3. McKenzie, David & Gibson, John & Stillman, Steven, 2006. "How Important Is Selection? Experimental vs. Non-Experimental Measures of the Income Gains from Migration," IZA Discussion Papers 2087, Institute for the Study of Labor (IZA).
    4. Ichino, Andrea & Mealli, Fabrizia & Nannicini, Tommaso, 2006. "From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and their Sensitivity?," IZA Discussion Papers 2149, Institute for the Study of Labor (IZA).
    5. David McKenzie & Hillel Rapoport, 2007. "Self-selection patterns in Mexico-U.S. migration: The role of migration networks," CReAM Discussion Paper Series 0701, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    6. Hoddinott, John, 1994. "A Model of Migration and Remittances Applied to Western Kenya," Oxford Economic Papers, Oxford University Press, vol. 46(3), pages 459-76, July.
    7. Amuedo-Dorantes, Catalina & Pozo, Susan, 2010. "Accounting for Remittance and Migration Effects on Children's Schooling," World Development, Elsevier, vol. 38(12), pages 1747-1759, December.
    8. Pablo A. Acosta & Emmanuel K.K. Lartey & Federico S. Mandelman, 2007. "Remittances and the Dutch disease," Working Paper 2007-08, Federal Reserve Bank of Atlanta.
    9. de la Briere, Benedicte & Sadoulet, Elisabeth & de Janvry, Alain & Lambert, Sylvie, 2002. "The roles of destination, gender, and household composition in explaining remittances: an analysis for the Dominican Sierra," Journal of Development Economics, Elsevier, vol. 68(2), pages 309-328, August.
    10. Francisca M. Antman, 2011. "International Migration and Gender Discrimination among Children Left Behind," American Economic Review, American Economic Association, vol. 101(3), pages 645-49, May.
    11. Calero, C. & Bedi, A.S. & Sparrow, R.A., 2008. "Remittances, liquidity constraints and human capital investments in Ecuador," ISS Working Papers - General Series 18735, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    12. Ralph Chami & Connel Fullenkamp & Samir Jahjah, 2005. "Are Immigrant Remittance Flows a Source of Capital for Development?," IMF Staff Papers, Palgrave Macmillan, vol. 52(1), pages 55-81, April.
    13. Emmanuel K.K. Lartey & Federico S. Mandelman & Pablo A. Acosta, 2008. "Remittances, exchange rate regimes, and the Dutch disease: a panel data analysis," Working Paper 2008-12, Federal Reserve Bank of Atlanta.
    14. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
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