An analytic and empirical examination of zero-inflated and hurdle poisson specifications

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

This article examines two alternative specifications for estimating event-count models in which the data-generating process results in a larger number of zero counts than would be expected under standard distributional assumptions. The author compares King's hurdle event count model and Greene's zero-inflated Poisson model, using data on congressional responses to Supreme Court decisions from 1979 to 1988. The author shows that each of these models is a special case of a more general dual regime data-generating process that results in extra-Poisson zero counts. Furthermore, because this data-generating process can produce overdispersion in its own right, these models are also shown to be related to variance function negative binomial specifications. The underlying correspondence between these models leads to similar results in estimating and interpreting them in practice.

Original languageEnglish (US)
Pages (from-to)368-400
Number of pages33
JournalSociological Methods and Research
Volume26
Issue number3
DOIs
StatePublished - Jan 1 1998

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examination
event
court decision
Supreme Court
regime

All Science Journal Classification (ASJC) codes

  • Social Sciences (miscellaneous)
  • Sociology and Political Science

Cite this

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An analytic and empirical examination of zero-inflated and hurdle poisson specifications. / Zorn, Christopher Jon.

In: Sociological Methods and Research, Vol. 26, No. 3, 01.01.1998, p. 368-400.

Research output: Contribution to journalArticle

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