Measures of Technology and the Business Cycle
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.
Year of publication: |
2005
|
---|---|
Authors: | Alexius, Annika ; Carlsson, Mikael |
Published in: |
The Review of Economics and Statistics. - MIT Press. - Vol. 87.2005, 2, p. 299-307
|
Publisher: |
MIT Press |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Measures of Technology and the Business Cycle
Alexius, Annika, (2002)
-
Production function residuals, VAR technology shocks and hours worked : evidence from industry data
Alexius, Annika, (2007)
-
Measures of technology and the business cycle
Alexius, Annika, (2005)
- More ...