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Gender Unemployment Gaps: Evidence from the New EU Member States

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  • Alena Bicakova

Abstract

Using EU LFS data, we analyze gender unemployment gaps in eight new EU member states – the Czech Republic, Hungary, Slovakia, Poland, the three Baltic states and Slovenia – over the last decade. While there are substantial unemployment gaps in the four central European countries and, more recently, also in Slovenia, there is no statistical difference between female and male unemployment rates in the three Baltic states. The estimated cost of having children, in terms of the higher probability of unemployment and lower unemployment to employment transition rate, is the highest in countries with the longest and most substantial drop in the labor force participation of women after childbirth. We show that country differences in family leave policies can explain much of the cross-country variation in the gender unemployment gaps.

Suggested Citation

  • Alena Bicakova, 2010. "Gender Unemployment Gaps: Evidence from the New EU Member States," CERGE-EI Working Papers wp410, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp410
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    References listed on IDEAS

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    1. Ghazala Azmat & Maia Güell & Alan Manning, 2006. "Gender Gaps in Unemployment Rates in OECD Countries," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 1-38, January.
    2. Arnaud Dupuy & Daniel Fernandez-Kranz, 2011. "International differences in the family gap in pay: the role of labour market institutions," Applied Economics, Taylor & Francis Journals, vol. 43(4), pages 413-438.
    3. Stephen R. G. Jones & W. Craig Riddell, 1999. "The Measurement of Unemployment: An Empirical Approach," Econometrica, Econometric Society, vol. 67(1), pages 147-162, January.
    4. Stěpán Jurajda, 2005. "Gender Segregation and Wage Gap: An East-West Comparison," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 598-607, 04/05.
    5. Andrea Brandolini & Piero Cipollone & Eliana Viviano, 2006. "Does The Ilo Definition Capture All Unemployment?," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 153-179, March.
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    Cited by:

    1. Martin Guzi, 2014. "An Empirical Analysis of Welfare Dependence in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(5), pages 407-431, November.
    2. Franciscos Koutentakis, 2015. "Gender Unemployment Dynamics: Evidence from Ten Advanced Economies," LABOUR, CEIS, vol. 29(1), pages 15-31, March.
    3. Mirko Savic, Ivan Zubovic, Danica Drakulic, 2014. "Dynamics Of Female Participation In Higher Education And Employment – The Absorption Index," Ekonomika, Journal for Economic Theory and Practice and Social Issues 2014-01, „Ekonomika“ Society of Economists, Niš (Serbia).
    4. Ahmed SALAMA, 2017. "How Literacy Affects Unemployment Among Different Age Groups In Palestine," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 15, pages 363-371, December.
    5. Kalíšková, Klára, 2014. "Labor supply consequences of family taxation: Evidence from the Czech Republic," Labour Economics, Elsevier, vol. 30(C), pages 234-244.

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    More about this item

    Keywords

    Gender Unemployment Gap; Labor Force Participation; Family Leave Policies;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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