Arbeitspapier

Instrumental variable estimation of treatment effects for duration outcomes

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.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 2896

Klassifikation
Wirtschaft
Thema
Statistische Bestandsanalyse
Mikroökonometrie
Instrumentalvariablen-Schätzmethode
Lohnsubvention
Wirkungsanalyse
Theorie
Illinois

Ereignis
Geistige Schöpfung
(wer)
Bijwaard, Govert E.
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2007

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Bijwaard, Govert E.
  • Institute for the Study of Labor (IZA)

Entstanden

  • 2007

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