Evolving Post-World War II U.S. Inflation Dynamics
AbstractThis paper uses a nonlinear stochastic model to describe inflation-unemployment dynamics in the U.S. after World War II. The model is a vector autoregression with coefficients that are random walks with innovations that are arbitrarily correlated with each other and with innovations to the observables. The model enables us to detect features that have been emphasized in theoretical analyses of inflation-unemployment dynamics. Those analyses involve coefficient drift in essential ways.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Department of Economics, W. P. Carey School of Business, Arizona State University in its series Working Papers with number 2132872.
Date of creation:
Date of revision:
Other versions of this item:
- Timothy Cogley & Thomas J. Sargent, 2002. "Evolving Post-World War II U.S. Inflation Dynamics," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 331-388 National Bureau of Economic Research, Inc.
- NEP-ALL-2005-05-14 (All new papers)
- NEP-CBA-2005-05-14 (Central Banking)
- NEP-MAC-2005-05-14 (Macroeconomics)
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.:
- James H. Stock, 1991.
"Confidence Intervals for the Largest Autoresgressive Root in U.S. Macroeconomic Time Series,"
NBER Technical Working Papers
0105, National Bureau of Economic Research, Inc.
- Stock, James H., 1991. "Confidence intervals for the largest autoregressive root in U.S. macroeconomic time series," Journal of Monetary Economics, Elsevier, vol. 28(3), pages 435-459, December.
- Anindya Banerjee & Robin L. Lumsdaine & James H. Stock, 1990.
"Recursive and Sequential Tests of the Unit Root and Trend Break Hypothesis: Theory and International Evidence,"
NBER Working Papers
3510, National Bureau of Economic Research, Inc.
- Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-87, July.
- Robert J. Gordon, 1997.
"The Time-Varying NAIRU and its Implications for Economic Policy,"
NBER Working Papers
5735, National Bureau of Economic Research, Inc.
- Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
- Gordon, Robert J, 1996. "The Time-varying NAIRU and its Implications for Economic Policy," CEPR Discussion Papers 1492, C.E.P.R. Discussion Papers.
- Uhlig, Harald, 1994. "What Macroeconomists Should Know about Unit Roots: A Bayesian Perspective," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 645-671, August.
- Robert J. Gordon, 1998. "Foundations of the Goldilocks Economy: Supply Shocks and the Time-Varying NAIRU," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 297-346.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Steve Salik).
If references are entirely missing, you can add them using this form.