2005
DOI: 10.1177/153244000500500406
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Beyond Logit and Probit: Cox Duration Models of Single, Repeating, and Competing Events for State Policy Adoption

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 m… Show more

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Cited by 123 publications
(80 citation statements)
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References 36 publications
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“…The baseline hazard, which is the hazard for the respective state when all independent variable values are equal to zero, provides significant 9 Jones and Branton (2005) show that Cox duration models are generally preferable to logit or probit approaches, particularly when investigating state policy adoption. Specifically, they demonstrate that when using a logit or probit approach the baseline hazard rate is either assumed to be constant or strong assumptions need to be made about the specification.…”
Section: Methods and Datamentioning
confidence: 99%
“…The baseline hazard, which is the hazard for the respective state when all independent variable values are equal to zero, provides significant 9 Jones and Branton (2005) show that Cox duration models are generally preferable to logit or probit approaches, particularly when investigating state policy adoption. Specifically, they demonstrate that when using a logit or probit approach the baseline hazard rate is either assumed to be constant or strong assumptions need to be made about the specification.…”
Section: Methods and Datamentioning
confidence: 99%
“…This model also does not take advantage of the different timing of deregulation across utilities, and provides little guidance regarding the future pattern of deregulation at other utilities. In the study of policy adoption across states, hazard models have many advantages compared with probability models (Jones and Branton 2005). The Cox proportional-hazard model is thus estimated to predict the time to deregulation of utilities that have not deregulated yet, using information on the timing of deregulation at presently deregulated utilities.…”
Section: Model Of Timing Of Deregulationmentioning
confidence: 99%
“…Cox regression is also used for policy adoption/diffusion studies ( Jones and Branton, 2005). The central statistical output is the hazard ratio.…”
mentioning
confidence: 99%