Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/33202
Authors: 
Heckman, James Joseph
Navarro, Salvador
Year of Publication: 
2005
Series/Report no.: 
IZA Discussion Papers 1790
Abstract: 
This 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.
Subjects: 
dynamic treatment effects
dynamic discrete choice
semiparametric identification
JEL: 
C31
Document Type: 
Working Paper

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