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Technology Shock and Employment: Do We Really Need DSGE Models with a Fall in Hours? Author info | Abstract | Publisher info | Download info | Related research | Statistics Dupaigne, M.
Fève, P.
Matheron, J.
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The recent empirical literature that uses Structural Vector Autoregressions (SVAR) has shown that productivity shocks identified using long--run restrictions lead to a persistent and significant decline in hours worked. This evidence calls into question standard RBC models in which a positive technology shock leads to a rise in hours. In this paper, we estimate and test a standard RBC model using Indirect Inference on impulse responses of hours worked after technology and non-technology shocks. We find that this model is not rejected by the data and is able to produce impulse responses in SVAR from simulated data similar to impulse responses in SVAR from actual data. Moreover, technology shocks represent the main contribution to the variance of the business cycle component of output under the estimated DSGE model. Our results suggest that we do not necessarily need DSGE models with a fall in hours to reproduce the results deriving from SVAR models.
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Paper provided by Banque de France in its series Documents de Travail with number
124.
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Length: 56 pages
Date of creation: 2005Date of revision:
Handle: RePEc:bfr:banfra:124Contact details of provider: Postal: Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS Web page: http://www.banque-france.fr/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Thierry Demoulin).
Keywords: SVARs ; Long--Run Restrictions ; RBC models ; Indirect Inference ; Other versions of this item:
Find related papers by JEL classification: E24 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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