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Beyond Logit and Probit: Cox Duration Models of Single, Repeating, and Competing Events for State Policy Adoption

Published online by Cambridge University Press:  25 January 2021

Bradford S. Jones  and
Regina P. Branton
Bradford S. Jones
Affiliation:
University of Arizona
Regina P. Branton
Affiliation:
Rice University
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Abstract

Since 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach and consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function and, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable and competing events, events that the logit-probit approach cannot be used to model.

Type
The Practical Researcher
Information
State Politics & Policy Quarterly , Volume 5 , Issue 4 , Winter 2005 , pp. 420 - 443
Copyright
Copyright © 2005 by the Board of Trustees of the University of Illinois

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