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dc.contributor.authorHorny, Guillaumeen
dc.contributor.authorMendes, Ruteen
dc.contributor.authorvan den Berg, Gerard J.en
dc.date.accessioned2010-02-22-
dc.date.accessioned2011-05-27T09:29:32Z-
dc.date.available2011-05-27T09:29:32Z-
dc.date.issued2009-
dc.identifier.urihttp://hdl.handle.net/10419/45745-
dc.description.abstractWe study job durations using a multivariate hazard model allowing for workerspecific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the variation in job durations into the relative contribution of the worker and the firm. We also allow the unobserved terms to be correlated. For the empirical analysis we use a Portuguese longitudinal matched employer-employee data set. The model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) estimation method. The results imply that firm characteristics explain around 30% of the variation in log job durations. In addition, we find a positive correlation between unobserved worker and firm characteristics.en
dc.language.isoengen
dc.publisher|aInstitute for Labour Market Policy Evaluation (IFAU) |cUppsalaen
dc.relation.ispartofseries|aWorking Paper |x2009:4en
dc.subject.jelC99en
dc.subject.jelJ64en
dc.subject.jelJ68en
dc.subject.ddc330en
dc.subject.keywordJob transitionsen
dc.subject.keywordassortative matchingen
dc.subject.keywordGibbs samplingen
dc.subject.keywordfrailtiesen
dc.subject.keyworddynamic modelsen
dc.subject.keywordmatched employer-employee dataen
dc.subject.stwHumankapitalen
dc.subject.stwArbeitsmobilitäten
dc.subject.stwStatistische Bestandsanalyseen
dc.subject.stwBayes-Statistiken
dc.subject.stwMonte-Carlo-Methodeen
dc.subject.stwPortugalen
dc.titleJob durations with worker and firm specific effects: MCMC estimation with longitudinal employer-employee data-
dc.typeWorking Paperen
dc.identifier.ppn592508048en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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