DP7474 Methods versus Substance: Measuring the Effects of Technology Shocks on Hours
|Author(s):||Cristina Fuentes-Albero, Maxym Kryshko, José-Víctor Ríos-Rull, Raül Santaeulàlia-Llopis, Frank Schorfheide|
|Publication Date:||September 2009|
|Keyword(s):||Business Cycle Fluctuations, Calibration, DSGE Model Estimation, Technology Shocks|
|JEL(s):||C1, C8, E3|
|Programme Areas:||International Macroeconomics|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=7474|
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.