TECHNOLOGICAL LEARNING AND LABOR MARKET DYNAMICS
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.”
Year of publication: |
2015
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Authors: | Gervais, Martin ; Jaimovich, Nir ; Siu, Henry E. ; Yaniv Yedid‐Levi |
Published in: |
International Economic Review. - Department of Economics. - Vol. 56.2015, 02, p. 27-53
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Publisher: |
Department of Economics |
Saved in:
Saved in favorites
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