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Technological Learning and Labor Market Dynamics

Martin Gervais (), Nir Jaimovich (), Henry Siu () and Yaniv Yedid-Levi

No 19767, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: The search-and-matching model of the labor market fails to match two important business cycle facts: (i) a high volatility of unemployment relative to labor productivity, and (ii) a mild correlation between these two variables. We address these shortcomings by focusing on technological learning-by-doing: the notion that it takes workers time using a technology before reaching their full productive potential with it. We consider a novel source of business cycles, namely, fluctuations in the speed of technological learning and show that a search-and-matching model featuring such shocks can account for both facts. Moreover, our model provides a new interpretation of recently discussed "news shocks."

JEL-codes: E24 E32 J64 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dge and nep-lab
Date: 2013-12
Note: EFG
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Published as Martin Gervais & Nir Jaimovich & Henry E. Siu & Yaniv Yedid‐Levi, 2015. "Technological Learning And Labor Market Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 27-53, 02.

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Journal Article: TECHNOLOGICAL LEARNING AND LABOR MARKET DYNAMICS (2015) Downloads
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