Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/21286 
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dc.contributor.authorStefanová Lauerová, Janaen
dc.contributor.authorTerrell, Katherineen
dc.date.accessioned2009-01-28T16:21:04Z-
dc.date.available2009-01-28T16:21:04Z-
dc.date.issued2002-
dc.identifier.urihttp://hdl.handle.net/10419/21286-
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
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x600en
dc.subject.jelJ48en
dc.subject.jelJ64en
dc.subject.jelP20en
dc.subject.jelC23en
dc.subject.ddc330en
dc.subject.keywordunemploymenten
dc.subject.keywordgenderen
dc.subject.keywordtransition probabilitiesen
dc.subject.keywordflow analysisen
dc.subject.keywordpost-communist economiesen
dc.subject.keywordCzech Republicen
dc.subject.stwArbeitslosigkeiten
dc.subject.stwGeschlechten
dc.subject.stwFrauenarbeitslosigkeiten
dc.subject.stwÜbergangswirtschaften
dc.subject.stwSchätzungen
dc.subject.stwTschechische Republiken
dc.titleExplaining Gender Differences in Unemployment with Micro Data on Flows in Post-Communist Economies-
dc.typeWorking Paperen
dc.identifier.ppn846053659en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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