IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01374352.html
   My bibliography  Save this paper

Migration, Self-selection and Returns to Education in the WAEMU

Author

Listed:
  • Philippe de Vreyer

    (DIAL - Développement, institutions et analyses de long terme, LEDA-DIAL - Développement, Institutions et Modialisation - LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, LEDa - Laboratoire d'Economie de Dauphine - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

  • Flore Gubert

    (DIAL - Développement, institutions et analyses de long terme, IRD [Guinée] - Institut de Recherche pour le Développement)

  • François Roubaud

    (DIAL - Développement, institutions et analyses de long terme, IRD [Guinée] - Institut de Recherche pour le Développement)

Abstract

We use a unique set of identical labour force surveys that allow to observe, at the same time, migrants in seven WAEMU countries and their country of origin's labour market. We use these data first to document the patterns of migration flows in the sub-region, second to estimate the determinants of migration behaviour across these countries and to correct the estimated returns to education for the endogeneity of location choice. We finally estimate a structural model to evaluate the impact of expected earnings differentials on the probability of selecting a particular country to reside in. Our results show that Cote d'Ivoire remains the most important immigration country in the sub-region. Our data also suggests that Mali and Burkina Faso have been and still are major labour-exporting countries, largely towards Cote d'Ivoire. Benin and Togo, by contrast, combine both emigration and immigration. Looking at migrants characteristics we find that migrants tend to be less educated than non migrants in both their origin and destination countries, are more likely than natives to work in the informal sector and that they receive lower wages. Our econometric results suggest that not holding account of international migration in estimating returns to education yields upward biased estimates in three countries out of seven and downward biased estimates in two others. However, disparities in returns to education between capital cities do not vanish, suggesting that country-specific amenities and other un-measurable non-wage variables play important roles in the location choice of individuals with different levels of education. We also find that expected earnings differentials have a very significant effect on the choice probabilities: all else equal, people tend to live in countries in which their expected earnings are higher than elsewhere.

Suggested Citation

  • Philippe de Vreyer & Flore Gubert & François Roubaud, 2010. "Migration, Self-selection and Returns to Education in the WAEMU," Post-Print hal-01374352, HAL.
  • Handle: RePEc:hal:journl:hal-01374352
    DOI: 10.1093/jae/ejp011
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Albert Bollard & David McKenzie & Melanie Morten, 2009. "The Remitting Patterns of African Migrants in the OECD," RF Berlin - CReAM Discussion Paper Series 0921, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    2. Joshua Blumenstock & Nathan Eagle & Marcel Fafchamps, 2011. "Risk and Reciprocity Over the Mobile Phone Network: Evidence from Rwanda," CSAE Working Paper Series 2011-19, Centre for the Study of African Economies, University of Oxford.
    3. Girsberger, Esther Mirjam & Méango, Romuald & Rapoport, Hillel, 2020. "Regional migration and wage inequality in the West African economic and monetary union," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 385-404.
    4. repec:dau:papers:123456789/5128 is not listed on IDEAS
    5. Isabelle Chort & Jean-Noël Senne, 2017. "Intra-household Selection into Migration: Evidence from a Matched Sample of Migrants and Origin Households in Senegal," PSE Working Papers hal-01516104, HAL.
    6. Blumenstock, Joshua E. & Eagle, Nathan & Fafchamps, Marcel, 2016. "Airtime transfers and mobile communications: Evidence in the aftermath of natural disasters," Journal of Development Economics, Elsevier, vol. 120(C), pages 157-181.
    7. Bertoli, S. & Fernández-Huertas Moraga, J. & Ortega, F., 2013. "Crossing the border: Self-selection, earnings and individual migration decisions," Journal of Development Economics, Elsevier, vol. 101(C), pages 75-91.
    8. Isabelle Chort & Jean-Noël Senne, 2012. "Intra-household Selection into Migration : Evidence from a Matched Sample of Migrants and Origin Households in Senegal," Post-Print hal-01516775, HAL.
    9. Girsberger, Esther Mirjam & Méango, Romuald & Rapoport, Hillel, 2020. "Regional migration and wage inequality in the West African economic and monetary union," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 385-404.

    More about this item

    Keywords

    Migration internationale; Rendements de l'éducation; Afrique de l'Ouest; Auto-sélection; Econométrie Appliquée;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:hal:journl:hal-01374352. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.