Search Unemployment with Advance Notice
Pietro Garibaldi
No 2164, CEPR Discussion Papers from C.E.P.R. Discussion Papers
Abstract:
This paper proposes and solves a search unemployment model in which job separation requires mandatory notice. When jobs are subject to idiosyncratic uncertainty, firms would issue advance notice even with good business conditions. We show that such precautionary policy is not pursued if it entails sufficiently high productivity losses. If workers can search on the job, an increase in advance notice increases job-to-job movements, reduces unemployment flows, and has ambiguous effects on equilibrium unemployment. Results are consistent with the fact the North American and European labor markets, despite their differences in job security provisions, experience similar turnover rates and dissimilar unemployment flows.
Keywords: Advance Notice; Search Theory; Unemployment Flows (search for similar items in EconPapers)
JEL-codes: J6 (search for similar items in EconPapers)
Date: 1999-06
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=2164 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
Related works:
Journal Article: SEARCH UNEMPLOYMENT WITH ADVANCE NOTICE (2004)
Working Paper: Search Unemployment with Advance Notice (1998)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:2164
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... ers/dp.php?dpno=2164
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().