Great expectations: Past wages and unemployment durations
René Böheim,
Gerard Horvath and
Rudolf Winter-Ebmer
Labour Economics, 2011, vol. 18, issue 6, 778-785
Abstract:
Decomposing wages into worker and firm wage components, we find that firm-fixed components are sizeable parts of workers' wages. If workers can only imperfectly observe the extent of firm-fixed components in their wages, they might be misled about the overall wage distribution. Such misperceptions may lead to unjustified high reservation wages, resulting in overly long unemployment durations. We examine the influence of previous wages on unemployment durations for workers after exogenous lay-offs and, using Austrian administrative data, we find that younger workers are, in fact, unemployed longer if they profited from high firm-fixed components in the past. We interpret our findings as evidence for overconfidence generated by imperfectly observed productivity.
Keywords: Unemployment; Job search; Overconfidence (search for similar items in EconPapers)
JEL-codes: J3 J6 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927537111000704
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Great Expectations: Past Wages and Unemployment Durations (2010) 
Working Paper: Great Expectations: Past Wages and Unemployment Durations (2010) 
Working Paper: Great Expectations: Past Wages and Unemployment Durations (2010) 
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:eee:labeco:v:18:y:2011:i:6:p:778-785
DOI: 10.1016/j.labeco.2011.06.009
Access Statistics for this article
Labour Economics is currently edited by A. Ichino
More articles in Labour Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().