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Dataset . 2022
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ZENODO
Dataset . 2019
License: CC BY
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Gender segregation at work over the business cycle: evidence from selected EU countries

Authors: Mariola Piłatowska; Dorota Witkowska;

Gender segregation at work over the business cycle: evidence from selected EU countries

Abstract

In this paper, we investigate whether gender employment rate responses to upward and downward fluctuations in the business cycle are symmetric and whether these responses differ depending on gender employment segregation in sectors and on different type of welfare states using the Esping-Andersen’s classification. We use the VAR model both in linear and non-linear (asymmetric) specification of GDP shocks and impulse response function. We find that the evidence of discouraged worker effect is weak (for women in Poland in education and Portugal in construction) suggesting not the hidden unemployment but rather the phenomenon of involuntary part-time worker becoming more common with the increase of precarious employment. Besides, we find that the pattern of gender employment adjustments to GDP fluctuations indicates that the gender sectoral segregation is deeply entrenched feature within given economic sectors (construction, education, accommodation) in all studied countries (Germany, Poland, Portugal). Hence, this stagnation of gender segregation contributes to the preservation of gender pay differentials in spite of many years of equal pay legislation in the EU members.

Keywords

gender employment segregation, business cycle fluctuations, linear and non-linear VAR model, impulse response function

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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