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Methods versus substance: measuring the effects of technology shocks on hours Author info | Abstract | Publisher info | Download info | Related research | Statistics José-Víctor Ríos-Rull
Frank Schorfheide
Cristina Fuentes-Albero
Raul Santaeulalia-Llopis
Maxym Kryshko
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In this paper, we employ both calibration and modern (Bayesian) estimation methods to assess the role of neutral and investment-specific technology shocks in generating fluctuations in hours. Using a neoclassical stochastic growth model, we show how answers are shaped by the identification strategies and not by the statistical approaches. The crucial parameter is the labor supply elasticity. Both a calibration procedure that uses modern assessments of the Frisch elasticity and the estimation procedures result in technology shocks accounting for 2% to 9% of the variation in hours worked in the data. We infer that we should be talking more about identification and less about the choice of particular quantitative approaches.
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Paper provided by Federal Reserve Bank of Minneapolis in its series Staff Report with number
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Date of creation: 2009Date of revision:
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Keywords: Business cycles ; Technology - Economic aspects ; Other versions of this item:
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Alejandro Justiniano & Bruce Preston, 2008.
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