Instrumental Variable Estimation of Treatment Effects for Duration Outcomes

Govert Bijwaard

No 2896, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: In this article we propose and implement an instrumental variable estimation procedure to obtain treatment effects on duration outcomes. The method can handle the typical complications that arise with duration data of time-varying treatment and censoring. The treatment effect we define is in terms of shifting the quantiles of the outcome distribution based on the Generalized Accelerated Failure Time (GAFT) model. The GAFT model encompasses two competing approaches to duration data; the (Mixed) Proportional Hazard (MPH) model and the Accelerated Failure Time (AFT) model. We discuss the large sample properties of the proposed Instrumental Variable Linear Rank (IVLR), and show how we can, with one additional step, improve upon its efficiency. We discuss the empirical implementation of the estimator and apply it to the Illinois re-employment bonus experiment.

Keywords: censoring; duration model; treatment effect; instrumental variable (search for similar items in EconPapers)
JEL-codes: C21 C41 J64 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2007-07
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (3)

Published - published in: H. Engelhardt, H.-P. Kohler and A. Fürnkranz-Prskawetz (eds.), Causal Analysis in Population Studies: Concepts, Methods, Applications, Springer-Verlag: 2009, 111-148

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Working Paper: Instrumental variable estimation of treatment effects for duration outcomes (2007)
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