This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Which Econometric Specification to Characterize the U.S. Inflation Rate Process?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Mohamed Boutahar ()
David Gbaguidi

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://hdl.handle.net/10.1007/s10614-009-9168-4
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Springer in its journal Computational Economics.

Volume (Year): 34 (2009)
Issue (Month): 2 (September)
Pages: 145-172
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:compec:v:34:y:2009:i:2:p:145-172

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100248

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Inflation; Markov switching autoregressive; Time varying parameter; Unknown structural break;

Other versions of this item:

References listed on IDEAS
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.:
  1. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    Other versions:
  2. Alain Guay & Florian Pelgrin, 2007. "Using Implied Probabilities to Improve Estimation with Unconditional Moment Restrictions," Cahiers de recherche 0747, CIRPEE. [Downloadable!]
  3. Cogley, Timothy W. & Sbordone, Argia M., 2005. "A Search for a Structural Phillips Curve," Working Papers 05-10, University of California at Davis, Department of Economics. [Downloadable!]
    Other versions:
  4. Florian PELGRIN & GUAY Alain & LUGER Richard, 2004. "The New Keynesian Phillips Curve: An Empirical Assessment," Computing in Economics and Finance 2004 212, Society for Computational Economics.
    Other versions:
  5. Hamilton, James D, 2001. "A Parametric Approach to Flexible Nonlinear Inference," Econometrica, Econometric Society, vol. 69(3), pages 537-73, May.
    Other versions:
  6. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March. [Downloadable!] (restricted)
    Other versions:
  7. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January. [Downloadable!] (restricted)
  8. BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
    Other versions:
  9. Guido Ascari, 2004. "Staggered prices and trend inflation: some nuisances," Macroeconomics 0404029, EconWPA. [Downloadable!]
    Other versions:
  10. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October. [Downloadable!] (restricted)
    Other versions:
  11. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January. [Downloadable!] (restricted)
    Other versions:
  12. Fuhrer, Jeff & Moore, George, 1995. "Inflation Persistence," The Quarterly Journal of Economics, MIT Press, vol. 110(1), pages 127-59, February. [Downloadable!] (restricted)
    Other versions:
  13. Timothy Cogley & Argia M. Sbordone, 2006. "Trend inflation and inflation persistence in the New Keynesian Phillips Curve," Staff Reports 270, Federal Reserve Bank of New York. [Downloadable!]
  14. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August. [Downloadable!] (restricted)
  15. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September. [Downloadable!] (restricted)
  16. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    Other versions:
  17. Sophocles Mavroeidis, 2006. "Testing the New Keynesian Phillips Curve Without Assuming Identification," Working Papers 2006-13, Brown University, Department of Economics. [Downloadable!]
  18. Sahuc, J-G., 2004. "Partial Indexation, Trend Inflation, and the Hybrid Phillips Curve," Documents de Travail 118, Banque de France. [Downloadable!]
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? All bibliographic data on IDEAS has been put in the public domain by the publishers.

This page was last updated on 2009-12-8.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.