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Duration Dependence, Functional Form, and Corrected Standard Errors: Improving EHA Models of State Policy Diffusion

Published online by Cambridge University Press:  25 January 2021

Jack Buckley and
Chad Westerland
Jack Buckley
Affiliation:
Boston College
Chad Westerland
Affiliation:
State University of New York at Stony Brook
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Abstract

Discrete event history analysis (EHA) is the analytic tool of choice for many scholars of policy diffusion across American states. Unfortunately, the policy diffusion literature largely ignores several important specification issues for EHA models: duration dependence, choice of functional form, and the computation of standard errors corrected for temporal and spatial dependence. We use data from Berry and Berry's (1990) seminal study of state lottery diffusion to demonstrate ways to deal properly with these issues.

Information

Type
The Practical Researcher
Information
State Politics & Policy Quarterly , Volume 4 , Issue 1 , Spring 2004, pp. 94 - 113
Copyright
Copyright © Board of Trustees of the University of Illinois

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