Life-Cycle Labor Search with Stochastic Match Quality
Julen Esteban-Pretel and
Junichi Fujimoto
No CIRJE-F-783, CIRJE F-Series from CIRJE, Faculty of Economics, University of Tokyo
Abstract:
Unemployment, job finding, and job separation rates exhibit patterns of decline as worker age increases in the U.S. We build and numerically simulate a search and matching model of the labor market that incorporates a life-cycle structure to account for these empirical facts. The model features random match quality, which, with positive probability, is not revealed until production takes place. We show that the model, calibrated to U.S. data, is able to reproduce the empirical patterns of unemployment and job transition rates over the entire life-cycle. Both decreasing distance to retirement as a worker ages, and ex ante unknown match quality, are essential in delivering these results. We then explore, both analytically and numerically, the efficiency implications of the model.
Pages: 34pages
Date: 2011-01
New Economics Papers: this item is included in nep-age, nep-dge and nep-lab
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Citations: View citations in EconPapers (14)
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http://www.cirje.e.u-tokyo.ac.jp/research/dp/2011/2011cf783.pdf (application/pdf)
Related works:
Journal Article: LIFE‐CYCLE LABOR SEARCH WITH STOCHASTIC MATCH QUALITY (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:tky:fseres:2010cf783
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