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Technological Learning and Labor Market Dynamics / Martin Gervais, Nir Jaimovich, Henry E. Siu, Yaniv Yedid-Levi.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Gervais, Martin.
Contributor:
National Bureau of Economic Research.
Jaimovich, Nir.
Siu, Henry E.
Yedid-Levi, Yaniv.
Series:
Working Paper Series (National Bureau of Economic Research) no. w19767.
NBER working paper series no. w19767
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2013.
Summary:
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."
Notes:
Print version record
December 2013.

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