A random-effects logit model of work-welfare transitions

John Enberg, Peter Gottschalk, Douglas Wolf

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

This paper models the transitions between states defined in terms of work and welfare status as a discrete-time competing-risk model with unobserved heterogeneity. A random-effects logit model is estimated with a panel drawn from Wisconsin administrative records. Unobservables are assumed to follow a discrete distribution. The most striking result is that welfare recipients were substantially less likely to start working while remaining on welfare afterthe 1981 changes in program rules.

Original languageEnglish (US)
Pages (from-to)63-75
Number of pages13
JournalJournal of Econometrics
Volume43
Issue number1-2
DOIs
StatePublished - Jan 1 1990
Externally publishedYes

ASJC Scopus subject areas

  • Economics and Econometrics

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