Interpreting the Hours-Technology time-varying relationship
Abstract
We investigate the time variation in the correlation between hours and technology shocks using a structural business cycle model. We propose an RBC model with a Constant Elasticity of Substitution (CES) production function that allows for capital- and labor-augmenting technology shocks. We estimate the model using US data with Bayesian techniques. In the full sample, we find (i) evidence in favor of a less than unitary elasticity of substitution (rejecting Cobb-Douglas) and (ii) a sizable role for capital augmenting shock for business cycles fluctuations. In rolling sub-samples, we document that the impact of technology shocks on hours worked varies over time and switches from negative to positive towards the end of the sample. We argue that this change is due to the increase in the elasticity of factor substitution. That is, labor and capital became less complementary throughout the sample inducing a change in the sign and size of the the response of hours. We conjecture that this change may have been induced by a change in the skill composition of the labor input.Download Info
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Paper provided by Department of Economics, University of Kent in its series Studies in Economics with number 1201.Length:
Date of creation: Jan 2012
Date of revision:
Handle: RePEc:ukc:ukcedp:1201
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Related research
Keywords: Real Business Cycles models; Constant Elasticity of Substitution production function; Hours worked dynamics;Other versions of this item:
- Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-10 (All new papers)
- NEP-BEC-2012-04-10 (Business Economics)
- NEP-DGE-2012-04-10 (Dynamic General Equilibrium)
- NEP-MAC-2012-04-10 (Macroeconomics)
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- Cristiano Cantore & Paul Levine & Giovanni Melina, 2013.
"A Fiscal Stimulus and Jobless Recovery,"
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- Cristiano Cantore & Paul Levine & Giovanni Melina, 2011. "A Fiscal Stimulus and Jobless Recovery," School of Economics Discussion Papers 1111, School of Economics, University of Surrey.
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