Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/33202
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dc.contributor.authorHeckman, James Josephen_US
dc.contributor.authorNavarro, Salvadoren_US
dc.date.accessioned2010-07-07T09:08:03Z-
dc.date.available2010-07-07T09:08:03Z-
dc.date.issued2005en_US
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_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion Papers |x1790en_US
dc.subject.jelC31en_US
dc.subject.ddc330en_US
dc.subject.keyworddynamic treatment effectsen_US
dc.subject.keyworddynamic discrete choiceen_US
dc.subject.keywordsemiparametric identificationen_US
dc.subject.stwQuerschnittsanalyseen_US
dc.subject.stwDiskrete Entscheidungen_US
dc.titleDynamic discrete choice and dynamic treatment effectsen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn506557960en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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