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The Changing Nature of Gender Selection into Employment: Europe over the Great Recession

Author

Listed:
  • Dolado, Juan J.

    () (European University Institute)

  • García-Peñalosa, Cecilia

    () (CNRS)

  • Tarasonis, Linas

    () (Bank of Lithuania)

Abstract

The aim of this paper is to evaluate the role played by selectivity issues induced by nonemployment in explaining gender wage gap patterns in the EU since the onset of the Great Recession. We show that male selection into the labour market, traditionally disregarded, has increased. This is particularly the case in peripheral EU countries, where dramatic drops in male unskilled jobs have taken place during the crisis. As regards female selection, traditionally positive, we document mixed findings. While it has declined in some countries, as a result of increasing female LFP due to an added-worker effect, it has become even more positive in other countries. This is due to adverse labour demand shifts in industries which are intensive in temporary work where women are over-represented. These adverse shifts may have more than offset the rise in unskilled female labour supply.

Suggested Citation

  • Dolado, Juan J. & García-Peñalosa, Cecilia & Tarasonis, Linas, 2017. "The Changing Nature of Gender Selection into Employment: Europe over the Great Recession," IZA Discussion Papers 10729, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp10729
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    References listed on IDEAS

    as
    1. Christofides, Louis N. & Polycarpou, Alexandros & Vrachimis, Konstantinos, 2013. "Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe," Labour Economics, Elsevier, vol. 21(C), pages 86-102.
    2. Claudia Olivetti & Barbara Petrongolo, 2008. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Journal of Labor Economics, University of Chicago Press, vol. 26(4), pages 621-654, October.
    3. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    4. Keane, Michael & Moffitt, Robert & Runkle, David, 1988. "Real Wages over the Business Cycle: Estimating the Impact of Heterogeneity with Micro Data," Journal of Political Economy, University of Chicago Press, vol. 96(6), pages 1232-1266, December.
    5. George-Levi Gayle & Limor Golan, 2012. "Estimating a Dynamic Adverse-Selection Model: Labour-Force Experience and the Changing Gender Earnings Gap 1968--1997," Review of Economic Studies, Oxford University Press, vol. 79(1), pages 227-267.
    6. Yuichi Kitamura & William Johnson & Derek Neal, 2000. "Evaluating a Simple Method for Estimating Black-White Gaps in Median Wages," American Economic Review, American Economic Association, vol. 90(2), pages 339-343, May.
    7. Engel, Melissa & Schaffner, Sandra, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 390, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. repec:zbw:rwirep:0390 is not listed on IDEAS
    9. Bredtmann, Julia & Otten, Sebastian & Rulff, Christian, 2014. "Husband's Unemployment and Wife's Labor Supply – The Added Worker Effect across Europe," Ruhr Economic Papers 484, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Bowlus, Audra J, 1995. "Matching Workers and Jobs: Cyclical Fluctuations in Match Quality," Journal of Labor Economics, University of Chicago Press, vol. 13(2), pages 335-350, April.
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    More about this item

    Keywords

    sample selection; gender wage gaps; gender employment gaps;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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