Measures of Technology and the Business Cycle
- 1 May 2005
- journal article
- Published by MIT Press in The Review of Economics and Statistics
- Vol. 87 (2) , 299-307
- https://doi.org/10.1162/0034653053970285
Abstract
We analyze the technology shocks identified by two different structural VAR models and compare them with classical and refined Solow residuals. The measures of technology are reasonably highly correlated. Alternative identifying restrictions in the VARs, however, have different theoretical as well as empirical consequences for the technology shocks. King et al.'s (1991) model and the classical Solow residual capture a mixture of technology and labor supply shocks, whereas the technology shocks from Galí's model and the refined Solow residuals are robust to the latter phenomenon. Moreover, we find that the two robust measures of technology are negatively correlated with hours worked. © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.Keywords
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This publication has 6 references indexed in Scilit:
- Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?American Economic Review, 1999
- The causes of Spanish unemployment: A structural VAR approachEuropean Economic Review, 1997
- Production function regressions, returns to scale, and externalitiesJournal of Monetary Economics, 1996
- Productivity shocks and real business cyclesJournal of Monetary Economics, 1992
- Cointegration and Error Correction MechanismsThe Economic Journal, 1989
- The Relation between Price and Marginal Cost in U.S. IndustryJournal of Political Economy, 1988