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Search, Matching and Training

Christopher Flinn, Ahu Gemici () and Steven Laufer ()
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Ahu Gemici: Royal Holloway, University of London

No 2016-023, Working Papers from Human Capital and Economic Opportunity Working Group

Abstract: We estimate a partial and general equilibrium search model in which firms and workers choose how much time to invest in both general and match-specific human capital. To help identify the model parameters, we use NLSY data on worker training and we match moments that relate the incidence and timing of observed training episodes to outcomes such as wage growth and job-to-job transitions. We use our model to offer a novel interpretation of standard Mincer wage regressions in terms of search frictions and returns to training. Finally, we show how a minimum wage can reduce training opportunities and decrease the amount of human capital in the economy.

Keywords: wage regression; Mincer; minimum wage; training (search for similar items in EconPapers)
JEL-codes: D58 D83 J24 (search for similar items in EconPapers)
Date: 2016-11
New Economics Papers: this item is included in nep-dge, nep-lma and nep-ltv
Note: FI
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Downloads: (external link)
http://humcap.uchicago.edu/RePEc/hka/wpaper/Flinn_ ... tchingbargaining.pdf First version, October 31, 2016 (application/pdf)

Related works:
Journal Article: Search, Matching, and Training (2017) Downloads
Working Paper: Search, Matching and Training (2016) Downloads
Working Paper: Search, Matching and Training (2014) Downloads
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