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dc.contributor.authorGaure, Simenen_US
dc.contributor.authorRøed, Knuten_US
dc.contributor.authorvan den Berg, Gerard J.en_US
dc.contributor.authorZhang, Taoen_US
dc.date.accessioned2010-03-16en_US
dc.date.accessioned2010-07-07T12:02:33Z-
dc.date.available2010-07-07T12:02:33Z-
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10419/35857-
dc.description.abstractConsider a setting where a treatment that starts at some point during a spell (e.g. in unemployment) may impact on the hazard rate of the spell duration, and where the impact may be heterogeneous across subjects. We provide Monte Carlo evidence on the feasibility of estimating the distribution of treatment effects from duration data with selectivity, by means of a nonparametric maximum likelihood estimator with unrestricted numbers of mass points for the heterogeneity distribution. We find that specifying the treatment effect as homogenous may yield misleading average results if the true effects are heterogeneous, even when the sorting into treatment is appropriately accounted for. Specifying the treatment effect as a random coefficient allows for precise estimation of informative average treatment effects including the program's overall impact on the mean duration.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 4794en_US
dc.subject.jelC31en_US
dc.subject.jelC41en_US
dc.subject.jelJ64en_US
dc.subject.jelC63en_US
dc.subject.ddc330en_US
dc.subject.keywordDuration analysisen_US
dc.subject.keywordunobserved heterogeneityen_US
dc.subject.keywordprogram evaluationen_US
dc.subject.keywordnonparametric estimationen_US
dc.subject.keywordMonte Carlo simulationen_US
dc.subject.keywordtiming of eventsen_US
dc.subject.keywordrandom effectsen_US
dc.titleEstimation of heterogeneous treatment effects on hazard ratesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn621206644en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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