Dynamically assigned treatments: duration models, binary treatment models, and panel data models

Arbeitspapier

Often, 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. We compare different methods of inference of the treatment effect, and 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

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• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper ; No. 2002:20

Classification and Topics

• Classification: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models ; Duration Analysis; Optimal Timing Strategies
• Subject: Program evaluation ; treatment effects ; bivariate duration analysis ; selection bias ; hazard rate ; unobserved heterogeneity ; fixed effects ; random effects

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Abbring, Jaap H. ; van den Berg, Gerard J.
• Event: Veröffentlichung
• (who): Institute for Labour Market Policy Evaluation (IFAU)
• (where): Uppsala
• (when): 2002

Further information

• Handle: http://hdl.handle.net/10419/82208