Journal article
Approaches to modeling the adoption and diffusion of policies with multiple components
State politics & policy quarterly, Vol.9(2), pp.229-252
2009
DOI: 10.1177/153244000900900205
Abstract
Scholars have begun to move beyond the dichotomous dependent variable–indicating whether a state adopts a policy or not in a given year–usually employed in event history analysis. In particular, they have devoted increasing attention to the components of policies that states adopt. I discuss a variety of estimators that have been employed to analyze the adoption and modifcation of policies with multiple components, including various forms of event history analysis, OLS, and event count models. With various modifications, the researcher can estimate models that treat each component as distinct, pool these models to leverage commonalities across components, or treat the components as identical parts of the same process. Each of these has its strengths and may be appropriate in certain circumstances. Nonetheless, in the majority of cases, some version of event history analysis for multiple or repeat failures is likely to be preferred. The different approaches are illustrated by studying state adoption of various obesity-related policies.
Details
- Title: Subtitle
- Approaches to modeling the adoption and diffusion of policies with multiple components
- Creators
- Frederick J Boehmke
- Resource Type
- Journal article
- Publication Details
- State politics & policy quarterly, Vol.9(2), pp.229-252
- DOI
- 10.1177/153244000900900205
- ISSN
- 1532-4400
- eISSN
- 1946-1607
- Language
- English
- Date published
- 2009
- Academic Unit
- Public Policy Center (Archive); Political Science
- Record Identifier
- 9983982716002771
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