Dynamic discrete choice and dynamic treatment effects

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 1790

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
• Subject: dynamic treatment effects ; dynamic discrete choice ; semiparametric identification ; Querschnittsanalyse ; Diskrete Entscheidung

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Heckman, James Joseph ; Navarro, Salvador
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2005

Further information

• Handle: http://hdl.handle.net/10419/33202
• Last update: 10.03.2025, 11:43 AM CET