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Modeling Duration Dependence

Published online by Cambridge University Press:  04 January 2017

Christopher J. W. Zorn
Christopher J. W. Zorn*
Affiliation:
Department of Political Science, Emory University, Atlanta, GA 30322. e-mail: czorn@emory.edu., http://www.emory.edu/POLS/zorn/
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Abstract

As applications of duration analysis have burgeoned in political science, scholars have become increasingly aware of the potential substantive importance of duration dependence: the extent to which the conditional hazards of the events of interest are rising or falling over time. Here I discuss the issue of duration dependence, focusing on the distinction between “spurious” dependence due to unobserved heterogeneity and “true” duration dependence due to state dependence in the process of interest. I present a simple extension of a commonly used parametric duration model—the Weibull model—which allows researchers to assess the influence of causal variables on the nature and extent of duration dependence in their data. I then illustrate the application of this “generalized Weibull” model using data on the duration of international alliances.

Type
Research Article
Information
Political Analysis , Volume 8 , Issue 4 , 18 July 2000 , pp. 367 - 380
Copyright
Copyright © 2000 by the Society for Political Methodology 

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