Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models

Jaap H. Abbring; Gerard Van den Berg

doi:10.1007/s00181-003-0188-y

Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models

Jaap H. Abbring^*, Gerard Van den Berg

^*Corresponding author for this work

School of Economics

Research output: Contribution to journal › Article (Academic Journal) › peer-review

34 Citations (Scopus)

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.

Original language	English
Pages (from-to)	5-20
Number of pages	16
Journal	Empirical Economics
Volume	29
Issue number	1
DOIs	https://doi.org/10.1007/s00181-003-0188-y
Publication status	Published - Jan 2004

Keywords

Bivariate duration analysis
Program evaluation
Selection bias
Timing-of-events method
Treatment effects

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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.",

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KW - Bivariate duration analysis

KW - Program evaluation

KW - Selection bias

KW - Timing-of-events method

KW - Treatment effects

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Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models

Abstract

Keywords

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