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Technological learning and labor market dynamics

  • Autores: Martin Gervais, Nir Jaimovich, Henry E. Siu, Yaniv Yedid-Levi
  • Localización: International economic review, ISSN-e 1468-2354, Vol. 56, Nº. 1, 2015, págs. 27-53
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • 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.�


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