The Incidence of Unemployment: Identifying Quit and Layoffs
Helena Nielsen () and
Michael Rosholm ()
Working Papers from Centre for Labour Market and Social Research, Danmark-
We analyse what determines the incidence of unemployment among Danish employees by estimation of a logit model for becoming unemployed. Our data is incomplete in the sense that we do not observe whether a transition was caused by the person quitting or being laid off, so we apply the EM-algorithm to this problem. The models are extended to account for the panel data structure of the data set by including random effects. We use exclusion restrictions to identify quits and layoffs. We find many quitters among young and old women but only few among men.
Keywords: UNEMPLOYMENT; EVALUATION; ECONOMIC MODELS (search for similar items in EconPapers)
JEL-codes: J60 J64 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:fth:clmsre:97-15
Access Statistics for this paper
More papers in Working Papers from Centre for Labour Market and Social Research, Danmark- Danmark; Centre for Labour Market and Social Research. Science Park Aarhus Wieds Vej 10C, 8000 Aarhus C, Danmark. Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().