IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp8067.html
   My bibliography  Save this paper

Female Brain Drains and Women's Rights Gaps: A Gravity Model Analysis of Bilateral Migration Flows

Author

Listed:
  • Naghsh Nejad, Maryam

    () (IZA)

  • Young, Andrew T.

    () (West Virginia University)

Abstract

In this paper we model the migration decisions of high-skilled women as a function of the benefits associated with moving from an origin with relatively low women's rights to a destination with a relatively high level of women's rights. However, the costs faced by women are decreasing in the level of women's rights provided. The model predicts a non-linear relationship between the relative levels of women's rights in destination versus origin countries (the women's rights gap) and the gender gap in high-skilled migration flows (the female brain drain ratio). In particular, starting from large values of the women's rights gap (where women's rights are very low in the origin) decreases in the gap may be associated with increases in the female brain drain ratio. However, starting from lower levels of the gap the relationship is positive: a greater gain in women's rights moving from origin to destination is, all else equal, associated with a greater likelihood of migration. Using a cross section of over 3,000 bilateral migration flows across OECD and non-OECD countries and the women's rights indices from the CIRI Human Rights Dataset, we report evidence consistent with the theory. A statistically significant and nonlinear relationship exists between women's rights gaps and female brain drain ratios. The evidence is particularly strong for the case of women's political rights.

Suggested Citation

  • Naghsh Nejad, Maryam & Young, Andrew T., 2014. "Female Brain Drains and Women's Rights Gaps: A Gravity Model Analysis of Bilateral Migration Flows," IZA Discussion Papers 8067, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp8067
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp8067.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2013. "Multilateral resistance to migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 79-100.
    2. Michel Beine & Sara Salomone, 2013. "Network Effects in International Migration: Education versus Gender," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(2), pages 354-380, April.
    3. Thierry Baudassé & Rémi Bazillier, 2014. "Gender inequality and emigration: Push factor or selection process?," International Economics, CEPII research center, issue 139, pages 19-47.
    4. Abu-Ghaida, Dina & Klasen, Stephan, 2004. "The Costs of Missing the Millennium Development Goal on Gender Equity," World Development, Elsevier, vol. 32(7), pages 1075-1107, July.
    5. Mayer, Thierry & Zignago, Soledad, 2006. "Notes on CEPII’s distances measures," MPRA Paper 26469, University Library of Munich, Germany.
    6. Docquier, Frédéric & Marfouk, Abdeslam & Salomone, Sara & Sekkat, Khalid, 2012. "Are Skilled Women More Migratory than Skilled Men?," World Development, Elsevier, vol. 40(2), pages 251-265.
    7. Naghsh Nejad, Maryam, 2013. "Institutionalized Inequality and Brain Drain: An Empirical Study of the Effects of Women's Rights on the Gender Gap in High-Skilled Migration," IZA Discussion Papers 7864, Institute for the Study of Labor (IZA).
    8. Frédéric Docquier & Hillel Rapoport, 2012. "Globalization, Brain Drain, and Development," Journal of Economic Literature, American Economic Association, vol. 50(3), pages 681-730, September.
    9. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    10. Borjas, George J, 1987. "Self-Selection and the Earnings of Immigrants," American Economic Review, American Economic Association, vol. 77(4), pages 531-553, September.
    11. James Bang & Aniruddha Mitra, 2011. "Gender bias and the female brain drain," Applied Economics Letters, Taylor & Francis Journals, vol. 18(9), pages 829-833.
    12. Blackden, Mark & Canagarajah, Sudharshan & Klasen, Stephan & Lawson, David, 2006. "Gender and Growth in Sub-Saharan Africa: Issues and Evidence," WIDER Working Paper Series 037, World Institute for Development Economic Research (UNU-WIDER).
    13. Grogger, Jeffrey & Hanson, Gordon H., 2011. "Income maximization and the selection and sorting of international migrants," Journal of Development Economics, Elsevier, vol. 95(1), pages 42-57, May.
    14. Kristin Mammen & Christina Paxson, 2000. "Women's Work and Economic Development," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 141-164, Fall.
    15. Esteve-Volart, Berta, 2004. "Gender discrimination and growth: theory and evidence from India," LSE Research Online Documents on Economics 6641, London School of Economics and Political Science, LSE Library.
    16. Dumont, Jean-Christophe & Martin, John P. & Spielvogel, Gilles, 2007. "Women on the Move: The Neglected Gender Dimension of the Brain Drain," IZA Discussion Papers 2920, Institute for the Study of Labor (IZA).
    17. Ferrant, Gaëlle & Tuccio, Michele, 2015. "South–South Migration and Discrimination Against Women in Social Institutions: A Two-way Relationship," World Development, Elsevier, vol. 72(C), pages 240-254.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sari Pekkala Kerr & William Kerr & Çağlar Özden & Christopher Parsons, 2016. "Global Talent Flows," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 83-106, Fall.
    2. Ruyssen, Ilse & Salomone, Sara, 2018. "Female migration: A way out of discrimination?," Journal of Development Economics, Elsevier, vol. 130(C), pages 224-241.
    3. Nejad, Maryam Naghsh & Young, Andrew T., 2016. "Want freedom, will travel: Emigrant self-selection according to institutional quality," European Journal of Political Economy, Elsevier, vol. 45(S), pages 71-84.
    4. Michael A. Clemens, 2016. "Losing our minds? New research directions on skilled emigration and development," International Journal of Manpower, Emerald Group Publishing, vol. 37(7), pages 1227-1248, October.
    5. Sari Pekkala Kerr & William Kerr & Çağlar Özden & Christopher Parsons, 2017. "High-Skilled Migration and Agglomeration," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 201-234, September.
    6. repec:ove:journl:aid:11334 is not listed on IDEAS
    7. Elveren, Adem Yavuz & Toksöz, Gülay, 2017. "Why Don’t Highly Skilled Women Want to Return? Turkey’s Brain Drain from a Gender Perspective," MPRA Paper 80290, University Library of Munich, Germany.
    8. Elisabetta Lodigiani & Sara Salomone, 2015. "Migration-induced Transfers of Norms. Political Empowerment?The case of Female Political Empowerment," Working Papers 2015:19, Department of Economics, University of Venice "Ca' Foscari".
    9. Ferrant, Gaëlle & Tuccio, Michele, 2015. "South–South Migration and Discrimination Against Women in Social Institutions: A Two-way Relationship," World Development, Elsevier, vol. 72(C), pages 240-254.

    More about this item

    Keywords

    female brain drain; high skilled female migration; bilateral migration flows; women's rights; institutional quality; gravity models;

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp8067. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.