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Causal Analysis in Population StudiesInstrumental Variable Estimation for Duration Data

Causal Analysis in Population Studies: Instrumental Variable Estimation for Duration Data [Social scientists have a long tradition of exploring the substantive implications of endogeneity in both methodological work and empirical work. Endogeneity is troublesome because it precludes the usual causal kinds of statements social scientists like to make. A canonical example is the evaluation of the effect of training programs of unemployment individuals on earnings and employment status. In general, the indicator for those who were trained is endogenous, because those individuals who choose to get training perceive the training as beneficial for earning or employment status. Other examples include the effect of union status and childbearing on labor market outcomes. All these problems have a treatment-control flavor. The notion that treatment status is endogenous reflects the fact that simple comparisons of treated and untreated individuals are unlikely to have a causal interpretation.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Causal Analysis in Population StudiesInstrumental Variable Estimation for Duration Data

Part of the The Springer Series on Demographic Methods and Population Analysis Book Series (volume 23)
Editors: Engelhardt, Henriette; Kohler, Hans-Peter; Fürnkranz-Prskawetz, Alexia
Bijwaard, Govert E.
Causal Analysis in Population Studies — Jan 1, 2009
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Publisher
Springer Netherlands
Copyright
© Springer Netherlands 2009
ISBN
978-1-4020-9966-3
Pages
111 –148
DOI
10.1007/978-1-4020-9967-0_6
Publisher site
See Chapter on Publisher Site

Abstract

[Social scientists have a long tradition of exploring the substantive implications of endogeneity in both methodological work and empirical work. Endogeneity is troublesome because it precludes the usual causal kinds of statements social scientists like to make. A canonical example is the evaluation of the effect of training programs of unemployment individuals on earnings and employment status. In general, the indicator for those who were trained is endogenous, because those individuals who choose to get training perceive the training as beneficial for earning or employment status. Other examples include the effect of union status and childbearing on labor market outcomes. All these problems have a treatment-control flavor. The notion that treatment status is endogenous reflects the fact that simple comparisons of treated and untreated individuals are unlikely to have a causal interpretation.]

Published: Jan 1, 2009

Keywords: Endogenous Variable; Baseline Hazard; Counting Process; Duration Model; Duration Data

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