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

[Zeitschriftenartikel]

Zajíčková, Drahomíra
Zajíček, Miroslav

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-Blin... mehr

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.... weniger

Thesaurusschlagwörter
Gender; Lohnunterschied; geschlechtsspezifische Faktoren; Tschechische Republik; Mutterschaft; berufstätige Frau; Elternschaft; Arbeitsmarkt; Regression

Klassifikation
Frauen- und Geschlechterforschung
Einkommenspolitik, Lohnpolitik, Tarifpolitik, Vermögenspolitik

Freie Schlagwörter
EU-SILC 2006; EU-SILC 2007; EU-SILC 2008; EU-SILC 2009; EU-SILC 2010; EU-SILC 2011; EU-SILC 2012; EU-SILC 2013; EU-SILC 2014; EU-SILC 2015; EU-SILC 2016; EU-SILC 2017; gender pay gap; quantile regression

Sprache Dokument
Englisch

Publikationsjahr
2021

Seitenangabe
S. 675-723

Zeitschriftentitel
Prague Economic Papers, 30 (2021) 6

DOI
https://doi.org/10.18267/j.pep.787

ISSN
2336-730X

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.