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

Jaap Abbring and Gerard van den Berg

No 831, IZA Discussion Papers from IZA Network @ LISER

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: timing-of-events method; treatment effects; program evaluation; bivariate duration analysis; selection bias (search for similar items in EconPapers)
JEL-codes: C14 C31 C41 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2003-07
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (5)

Published - published in: Empirical Economics, 2004, 29 (1), 5-20

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Journal Article: Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp831

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