Advanced Search
MyIDEAS: Login

Inflation persistence, structural breaks and omitted variables: a critical view

Contents:

Author Info

  • Andrea Vaona

    () (Istituto Ricerche Economiche, Faculty of Economic Sciences, University of Lugano, Switzerland.)

Abstract

Recent empirical contributions assess time changes in inflation persistence by means of simple autoregressive models. Their reliability is discussed in the light of the econometric literature on model misspecification and it is showed that their results can be misleading due to the omission of relevant variables.

Download Info

If 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.
File URL: http://doc.rero.ch/lm.php?url=1000,42,6,20080125113908-JC/wp0802.pdf
Download Restriction: no

Bibliographic Info

Paper provided by USI Università della Svizzera italiana in its series Quaderni della facoltà di Scienze economiche dell'Università di Lugano with number 0802.

as in new window
Length: 7 pages
Date of creation: 2008
Date of revision:
Handle: RePEc:lug:wpaper:0802

Contact details of provider:
Web page: http://www.library.lu.usi.ch

Related research

Keywords: inflation persistence; structural breaks; omitted variables; model misspecification; serial correlation.;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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.:
as in new window
  1. Dimitris Hatzinikolaou & Athanassios Stavrakoudis, 2006. "Empirical size and power of some diagnostic tests applied to a distributed lag model," Empirical Economics, Springer, vol. 31(3), pages 631-643, September.
  2. Godfrey, Leslie G, 1987. "Discriminating between Autocorrelation and Misspecification in," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 128-34, February.
  3. 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.
  4. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-46, March.
  5. Andrew Levin & Jeremy Piger, 2003. "Is Inflation Persistence Intrinsic in Industrial Economies?," Computing in Economics and Finance 2003 298, Society for Computational Economics.
  6. Siu Fai Leung & Shihti Yu, 2001. "The sensitivity of the RESET tests to disturbance autocorrelation in regression analysis," Empirical Economics, Springer, vol. 26(4), pages 721-726.
  7. Luca Benati, 2007. "The Time-Varying Phillips Correlation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(5), pages 1275-1283, 08.
  8. Kiviet, Jan F, 1986. "On the Rigour of Some Misspecification Tests for Modelling Dynamic Relationships," Review of Economic Studies, Wiley Blackwell, vol. 53(2), pages 241-61, April.
  9. Thursby, Jerry G, 1982. "Misspecification, Heteroscedasticity, and the Chow and Goldfeld-Quandt Tests," The Review of Economics and Statistics, MIT Press, vol. 64(2), pages 314-21, May.
  10. Dezhbakhsh, Hashem, 1990. "The Inappropriate Use of Serial Correlation Tests in Dynamic Linear Models," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 126-32, February.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Andrea Vaona & Guido Ascari, 2012. "Regional Inflation Persistence: Evidence from Italy," Regional Studies, Taylor and Francis Journals, vol. 46(4), pages 509-523, June.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:lug:wpaper:0802

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alessio Tutino).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.