State Politics & Policy Quarterly · 2005 · 173 citations · 39 references
Public HealthPublic PolicyPolicy AnalysisPolicy EvaluationSurvival AnalysisCompeting RisksDuration AnalysisEvent History AnalysisParametric Survival ModelsSurvival ModelingTime-to-event AnalysisBaseline Hazard SpecificationCox RegressionDiscrete-time Duration ModelsDiscrete-time Event History AnalysisEvent-related AnalysisHazard Rate ModelsTime-to-event Risk Modeling
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.
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