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dc.contributor.authorStefanová Lauerová, Janaen_US
dc.contributor.authorTerrell, Katherineen_US
dc.description.abstractPost-communist labor markets provide an interesting laboratory since unemployment rates grew from zero to double digits and gender differences began to vary greatly across these countries. We provide the first systematic analysis of the determinants of the gender unemployment gap in the Czech Republic using a method that decomposes unemployment rates into transition probabilities (flows) between labor market states, which we calculateusing Labor Force Survey data. We extend the analysis to other post-communist economies by evaluating the flows available from existing studies with the decomposition framework. We further examine the flows in the Czech Republic by estimating gender-specific multinomial logit models to learn which factors (demographic, regional, cyclical) other than gender and marital status affect unemployment. We find that women?s lower probability of exiting unemployment for a job explains the lion?s share of the gender gap in the unemploymentrates in the Czech Republic and the other post-communist countries for which studies exist. This is also the principal factor explaining married women?s higher unemployment rates compared to married men in the Czech Republic. On the other hand, single men and women?s rates are higher than married men and women?s because they are twice as likely to lose/leave a job for unemployment. We find that age and education are systematically important in explaining flows of both men and women in all these economies, as it is in the more developed industrial economies. The less educated are more likely to be laid off or quitand less likely to find a job. Whereas younger individuals are more likely to be laid off or quit, they are also more likely to find a job.en_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion paper series |x600en_US
dc.subject.keywordtransition probabilitiesen_US
dc.subject.keywordflow analysisen_US
dc.subject.keywordpost-communist economiesen_US
dc.subject.keywordCzech Republicen_US
dc.subject.stwTschechische Republiken_US
dc.titleExplaining Gender Differences in Unemployment with Micro Data on Flows in Post-Communist Economiesen_US
dc.typeWorking Paperen_US

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