Labour market institutions, crisis and gender earnings gap in Eastern Europe

Perugini, Cristiano; Selezneva, Ekaterina

doi:10.1111/ecot.12072

Cited by 24 publications

(23 citation statements)

References 96 publications

(120 reference statements)

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“…The findings for advanced economies tend to be more uniform in revealing a higher gap at the top than at the bottom or middle of the pay distribution, indicative of the glass-ceiling effect (Perugini and Selezneva 2015;ILO 2016b; Cristofides, Polycarpou, and Vrachimis 2013).…”

Section: Figure 1 Gender Gap In Monthly Earnings (In Log Points)mentioning

confidence: 98%

“…In particular, higher rates of unionization, wage coordination, and better work-family reconciliation policies tend to be associated with lower gaps (Blau andKahn 2003, 1996;Perugini and Selezneva 2015) and, more specifically, with a lower unexplained portion of the gap (Christofides, Polycarpou, and Vrachimis 2010). The magnitude and pervasiveness of discrimination may be higher in lower-income countries because of the poorer coverage of antidiscriminatory regulation and enforcement capacity (World Bank 2012).…”

Section: Regulatory and Legislative Stepsmentioning

confidence: 99%

“…In fact, among EU CEE countries, Perugini and Selezneva (2015) indicate a strengthening of the glass-ceiling effect during the 2008 crisis (outweighed by a shrinking of the gap at the bottom end of the distribution).…”

Section: Figure 1 Gender Gap In Monthly Earnings (In Log Points)mentioning

confidence: 99%

“…On average, gender pay gaps in advanced economies tend to be higher at the top end of the distribution, potentially indicative of the glass-ceiling effect. Despite these common patterns, there is considerable variation, arguably due to the differences in the overall wage dispersion, mechanisms of selection into employment, the state of social care infrastructure, and labor market regulations (Olivetti and Petrongolo 2008;Perugini and Selezneva 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Evaluating the selection bias in a panel-data setting using the data from a large Russian firm, 11 See Olivetti and Petrongolo (2008) for OECD countries, Christofides, Polycarpou, and Vrachimis (2010) for EU countries, and Perugini and Selezneva (2015) for EU CEE countries. 12 Positive (negative) selection into employment means that unobservable characteristics that drive the selection into employment are positively (negatively) correlated with pay.…”

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confidence: 99%

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Gender Pay Gaps in the Former Soviet Union: A Review of the Evidence

Khitarishvili

2018

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in January 2018The Levy Economics Institute Working Paper Collection presents research in progress by Levy Institute scholars and conference participants. The purpose of the series is to disseminate ideas to and elicit comments from academics and professionals.Levy Economics Institute of Bard College, founded in 1986, is a nonprofit, nonpartisan, independently funded research organization devoted to public service. Through scholarship and economic research it generates viable, effective public policy responses to important economic problems that profoundly affect the quality of life in the United States and abroad. ABSTRACTThe goal of this paper is to examine the patterns and movements of the gender pay gaps in the countries of the former Soviet Union (FSU) and to place them in the context of advanced economies. We survey over 30 publications and conduct a meta-analysis of this literature.Gender pay gaps in the region are considerable and above the levels observed in advanced economies. Similar to advanced economies, industrial and occupational segregation widens the gaps in the FSU countries, whereas gender differences in educational attainment tend to shrink them. However, a much higher proportion of the gaps remain unexplained, pointing toward the role of unobserved gender differences related to actual and perceived productivity. Over the last 25 years, the gaps contracted in most FSU countries, primarily due to the reduction in the unexplained portion. Underlying the contraction at the mean are different movements in the gap across the pay distribution. Although the glass-ceiling effect has diminished in some FSU countries, it has persisted in others. We investigate the reasons underlying these findings and argue that the developments in the FSU region shed new light on our understanding of the gender pay gaps.

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Section: Figure 1 Gender Gap In Monthly Earnings (In Log Points)mentioning

confidence: 98%

Section: Regulatory and Legislative Stepsmentioning

confidence: 99%

Section: Figure 1 Gender Gap In Monthly Earnings (In Log Points)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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