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Dynamic Discrete Choice and Dynamic Treatment Effects

Author

Listed:
  • Heckman, James J.

    (University of Chicago)

  • Navarro, Salvador

    (University of Wisconsin-Madison)

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.

Suggested Citation

  • Heckman, James J. & Navarro, Salvador, 2005. "Dynamic Discrete Choice and Dynamic Treatment Effects," IZA Discussion Papers 1790, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp1790
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    References listed on IDEAS

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    Keywords

    identification; dynamic treatment effects; dynamic discrete choice; semiparametric;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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