The delayed response to a technology shock: a flexible price explanation
I present empirical evidence of how the U.S. economy, including per-capita hours worked, responds to a technology shock. In particular, I present results based on permanent changes to a constructed direct measure of technological change for U.S. manufacturing industries. Based on empirical evidence, some claim that hours worked declines and never recovers in response to a positive technology shock. This paper's empirical evidence suggests that emphasizing the drop in hours worked is misdirected. Because the sharp drop in hours is not present here, the emphasis rather should be on the small (perhaps negative) initial response followed by a subsequent large positive response. Investment, consumption, and output have similar dynamic responses. In response to a positive technology shock, a standard flexible price model would have an immediate increase in hours worked. Therefore, such a model is inconsistent with the empirical dynamic responses. I show, however, that a flexible price model with habit persistence in consumption and certain kinds of capital adjustment costs can better match the empirical responses. Some recent papers have critiqued the use of long run VARs to identify the dynamic responses to a technology shock. In particular they report that, when long run VARs are applied to data simulated from particular economic models, the point estimates of the impulse responses may be imprecisely estimated. However, based on additional simulation evidence, I find that, although the impact response may be imprecisely estimated, a finding of a delayed response is much more likely when the true model response also has a delayed response.
|Date of creation:||2004|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.federalreserve.gov/
More information through EDIRC
|Order Information:||Web: http://www.federalreserve.gov/pubs/ifdp/order.htm|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Christiano, Lawrence J, 2002.
"Solving Dynamic Equilibrium Models by a Method of Undetermined Coefficients,"
Society for Computational Economics, vol. 20(1-2), pages 21-55, October.
- Lawrence J. Christiano, 1998. "Solving Dynamic Equilibrium Models by a Method of Undetermined Coefficients," NBER Technical Working Papers 0225, National Bureau of Economic Research, Inc.
- Lawrence J. Christiano, 1998. "Solving dynamic equilibrium models by a method of undetermined coefficients," Working Paper 9804, Federal Reserve Bank of Cleveland.
- Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1987.
"Stochastic Trends and Economic Fluctuations,"
NBER Working Papers
2229, National Bureau of Economic Research, Inc.
- Jermann, Urban J., 1998. "Asset pricing in production economies," Journal of Monetary Economics, Elsevier, vol. 41(2), pages 257-275, April.
- Burnside, A. Craig & Eichenbaum, Martin S. & Rebelo, Sergio T., 1996.
"Sectoral Solow residuals,"
European Economic Review,
Elsevier, vol. 40(3-5), pages 861-869, April.
- Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Sectoral Solow residuals," Working Paper Series, Macroeconomic Issues 95-15, Federal Reserve Bank of Chicago.
- Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Sectoral Solow Residuals," NBER Working Papers 5286, National Bureau of Economic Research, Inc.
- Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
When requesting a correction, please mention this item's handle: RePEc:fip:fedgif:810. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kris Vajs)
If references are entirely missing, you can add them using this form.