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

Author

Listed:
  • Philippe De Vreyer

    () (Université de Lille II, DIAL)

  • Flore Gubert

    () (DIAL, IRD, Paris)

  • François Roubaud

    () (DIAL, IRD)

Abstract

(english) 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. _________________________________ (français) Nous utilisons les données issues d'enquêtes réalisées simultanément dans sept capitales de l'Union Economique et Monétaire Ouest Africaine pour documenter les caractéristiques des flux migratoires entre pays de l'Afrique de l'Ouest, puis pour estimer un modèle individuel de choix résidentiel faisant intervenir la différence de gains potentielle comme déterminant. Une estimation en trois étapes est réalisée qui permet de contrôler de l'auto-sélection des individus dans les différentes destinations. Nos résultats montrent que la Côte d'Ivoire demeure le premier pays d'accueil des migrants de la sous région, alors que le Burkina Faso et le Mali sont au contraire des pays d'émigration, principalement à destination de la Côte d'Ivoire. Le Bénin et le Togo sont à la fois des pays d'émigration et d'immigration. L'examen des caractéristiques des migrants montre qu'ils tendent à être moins éduqués que les non migrants, aussi bien dans leur pays d'origine que dans leur pays d'accueil, travaillent plus fréquemment dans le secteur informel et reçoivent une rémunération plus faible. Nos estimations économétriques montrent que la prise en compte de l'auto-sélection des individus dans les différentes destinations modifie les rendements estimés de l'éducation dans certains pays. Nous trouvons également que les différences de gains potentielles ont un impact très significatif sur les probabilités de choix et que, toutes autres choses égales par ailleurs, les individus tendent à vivre dans des pays où ils reçoivent des revenus plus élevés.

Suggested Citation

  • Philippe De Vreyer & Flore Gubert & François Roubaud, 2007. "Migration, Self-selection and Returns to Education in the WAEMU," Working Papers DT/2007/10, DIAL (Développement, Institutions et Mondialisation).
  • Handle: RePEc:dia:wpaper:dt200710
    as

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    File URL: http://www.dial.ird.fr/media/ird-sites-d-unites-de-recherche/dial/documents/publications/doc_travail/2007/2007-10
    File Function: First version, 2007
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    Cited by:

    1. Albert Bollard & David McKenzie & Melanie Morten, 2009. "The Remitting Patterns of African Migrants in the OECD," CReAM Discussion Paper Series 0921, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    2. repec:dau:papers:123456789/5128 is not listed on IDEAS
    3. 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.
    4. 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.
    5. Isabelle Chort & Jean-Noël Senne, 2013. "Intra-household Selection into Migration: Evidence from a Matched Sample of Migrants and Origin Households in Senegal," Working Papers halshs-00877071, HAL.
    6. 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.
    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.

    More about this item

    Keywords

    International migration; Wage differentials; Discrete regressions; qualitative choice models; Migrations internationales; Différences de salaires; Régressions sur variables discrètes; modèles de choix qualitatifs.;

    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

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