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

Jack Buckley, Chad Westerland

Research output: Contribution to journalArticlepeer-review

85 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)94-113
Number of pages20
JournalState Politics and Policy Quarterly
Volume4
Issue number1
DOIs
StatePublished - May 11 2004
Externally publishedYes

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Political Science and International Relations

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