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Gender Pay Gap in the Czech Republic - Its Evolution and Main Drivers

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  • Drahomíra Zajíčková
  • Miroslav Zajíček

Abstract

The study estimates the size of the gender pay gap (GPG) for the Czech Republic in the years 2006-2017 using data from the EU-SILC survey. The size of the GPG (and the related variables) remains relatively time-invariant with a statistically weak relation to the business cycle. Using the Oaxaca-Blinder decomposition, we found out that the unexplained part of the GPG amounts to 50% of the whole GPG (on average) and only one third of the GPG is caused by an endowment effect or an interaction between the endowment effect and the coefficient effect. Selection bias plays a statistically insignificant role in terms of the GPG formation and explanation. Parenthood is the most important driver of the GPG. For parents, the GPG is about 30 percentage points higher than the one for non-parents. Women are able to narrow the GPG created by the effect of motherhood and reach original unexplained levels of approximately 15% after reaching the age of 50 and higher. Besides parenthood, there is no other demographic characteristic that has any substantial impact on the formation and persistence of the GPG. The GPG is most pronounced for the lowest- and the highest-earning quantiles, indicating the existence of a glass ceiling and a sticky floor on the Czech labour market.

Suggested Citation

  • Drahomíra Zajíčková & Miroslav Zajíček, 2021. "Gender Pay Gap in the Czech Republic - Its Evolution and Main Drivers," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(6), pages 675-723.
    • Handle: RePEc:prg:jnlpep:v:2021:y:2021:i:6:id:787:p:675-723
    DOI: 10.18267/j.pep.787
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    References listed on IDEAS

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    1. Elizabeth Brainerd, 2000. "Women in Transition: Changes in Gender Wage Differentials in Eastern Europe and the Former Soviet Union," ILR Review, Cornell University, ILR School, vol. 54(1), pages 138-162, October.
    2. Coral Río & Carlos Gradín & Olga Cantó, 2011. "The measurement of gender wage discrimination: the distributional approach revisited," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(1), pages 57-86, March.
    3. Balcar Jiří & Filipová Lenka & Machová Zuzana, 2012. "Gender Wage Gap in the Czech Republic: First Descriptive Analysis Based on Survey 2011," Review of Economic Perspectives, Sciendo, vol. 12(3), pages 151-167, October.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Light, Audrey & Ureta, Manuelita, 1995. "Early-Career Work Experience and Gender Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 13(1), pages 121-154, January.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
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    More about this item

    Keywords

    Gender; gender pay gap; parenthood; labour market; EU-SILC; quantile regression;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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