Analyzing the Effect of Dynamically Assigned Treatments Using Duration Models, Binary Treatment Models, and Panel Data Models

Jaap H. Abbring () and Gerard J. van den Berg

No 831, IZA Discussion Papers from Institute for the Study of Labor (IZA)

Abstract: 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. 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.

Keywords: program evaluation; treatment effects; timing-of-events method; bivariate duration analysis; selection bias (search for similar items in EconPapers)
JEL-codes: C14 C31 C41 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
Date: 2003-07
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Related works:
Journal Article: Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models (2004)
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