G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0316
来源IDTechnical Working Paper 0316
Dynamic Discrete Choice and Dynamic Treatment Effects
James J. Heckman; Salvador Navarro
发表日期2005-10-17
出版年2005
语种英语
摘要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.
主题Econometrics ; Estimation Methods
URLhttps://www.nber.org/papers/t0316
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/569340
推荐引用方式
GB/T 7714
James J. Heckman,Salvador Navarro. Dynamic Discrete Choice and Dynamic Treatment Effects. 2005.
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