Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/33202 
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dc.contributor.authorHeckman, James Josephen
dc.contributor.authorNavarro, Salvadoren
dc.date.accessioned2010-07-07T09:08:03Z-
dc.date.available2010-07-07T09:08:03Z-
dc.date.issued2005-
dc.identifier.urihttp://hdl.handle.net/10419/33202-
dc.description.abstractThis paper considers semiparametric identification of structural dynamic discrete choice models and models for dynamic treatment effects. Time to treatment and counterfactual outcomes associated with treatment times are jointly analyzed. We examine the implicit assumptions of the dynamic treatment model using the structural model as a benchmark. For the structural model we show the gains from using cross equation restrictions connecting choices to associated measurements and outcomes. In the dynamic discrete choice model, we identify both subjective and objective outcomes, distinguishing ex post and ex ante outcomes. We show how to identify agent information sets.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x1790en
dc.subject.jelC31en
dc.subject.ddc330en
dc.subject.keyworddynamic treatment effectsen
dc.subject.keyworddynamic discrete choiceen
dc.subject.keywordsemiparametric identificationen
dc.subject.stwQuerschnittsanalyseen
dc.subject.stwDiskrete Entscheidungen
dc.titleDynamic discrete choice and dynamic treatment effects-
dc.type|aWorking Paperen
dc.identifier.ppn506557960en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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