Measuring Heterogeneity in Job Finding Rates Among the Nonemployed Using Labor Force Status Histories

Fabian Lange and Marianna Kudlyak

No 8663, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We use a novel approach to studying the heterogeneity in the job finding rates of the nonemployed by classifying the nonemployed by labor force status (LFS) histories, instead of using only one-month LFS. Job finding rates differ substantially across LFS histories: they are 25-30% among those currently out of the labor force (OLF) with recent employment, 10% among those currently OLF who have been unemployed but not employed in the previous two months, and 2% among those who have been OLF in all three previous months. This heterogeneity cannot be deduced from the one-month LFS or from one-month responses to the CPS survey questions about desire to work or recent search activity. We conclude that LFS histories is an important predictor of the nonemployed's job finding probability, particularly for those OLF.

Keywords: out of the labor force (OLF); search process; job finding rate; heterogeneity; unemployment (search for similar items in EconPapers)
JEL-codes: E24 E32 J21 J22 J30 J41 J60 J63 J64 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2014-11
New Economics Papers: this item is included in nep-lab, nep-lma and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Related works:
Working Paper: Measuring Heterogeneity in Job Finding Rates among the Non-Employed Using Labor Force Status Histories (2018)
Working Paper: Measuring Heterogeneity in Job Finding Rates among the Nonemployed Using Labor Force Status Histories (2015)
Working Paper: Measuring Heterogeneity in Job Finding Rates Among the Nonemployed Using Labor Force Status Histories (2014)
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