Long-Term Unemployment and the Great Recession: The Role of Composition, Duration Dependence, and Nonparticipation
Kory Kroft,
Fabian Lange,
Matthew Notowidigdo and
Lawrence Katz
Journal of Labor Economics, 2016, vol. 34, issue S1, S7 - S54
Abstract:
We explore the role of composition, duration dependence, and labor force nonparticipation in accounting for the sharp increase in the incidence of long-term unemployment (LTU) during the Great Recession. We show that compositional shifts account for very little of the observed increase in LTU. Using panel data from the Current Population Survey for 2002-7, we calibrate a matching model that allows for duration dependence in unemployment and transitions between employment, unemployment, and nonparticipation. The calibrated model accounts for almost all of the increase in LTU and much of the observed outward shift in the Beveridge curve between 2008 and 2013.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (95)
Downloads: (external link)
http://dx.doi.org/10.1086/682390 (application/pdf)
http://dx.doi.org/10.1086/682390 (text/html)
Access to the online full text or PDF requires a subscription.
Related works:
Working Paper: Long-Term Unemployment and the Great Recession: The Role of Composition, Duration Dependence, and Nonparticipation (2016) 
Working Paper: Long-Term Unemployment and the Great Recession: The Role of Composition, Duration Dependence, and Non-Participation (2014) 
Chapter: Long-Term Unemployment and the Great Recession: The Role of Composition, Duration Dependence, and Nonparticipation (2013)
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:ucp:jlabec:doi:10.1086/682390
Access Statistics for this article
More articles in Journal of Labor Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().