Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models
AbstractOften, the moment of a treatment and the moment at which the outcome of interest occurs are realizations of stochastic processes with dependent unobserved determinants. Notably, both treatment and outcome are characterized by the moment they occur. In this paper, we compare different methods of inference of the treatment effect. We argue that the timing of the treatment relative to the outcome conveys useful information on the treatment effect, which is discarded in binary treatment frameworks. Copyright Springer-Verlag 2004
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Bibliographic InfoArticle provided by Springer in its journal Empirical Economics.
Volume (Year): 29 (2004)
Issue (Month): 1 (January)
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Other versions of this item:
- Abbring, Jaap H. & van den Berg, Gerard J., 2003. "Analyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models," IZA Discussion Papers 831, Institute for the Study of Labor (IZA).
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- 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
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
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