IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Estimating time-variation in measurement error from data revisions; an application to forecasting in dynamic models

Listed author(s):
  • George Kapetanios
  • Tony Yates

Over time, economic statistics are refined. This means that newer data are typically less well measured than old data. Time or vintage-variation in measurement error like this influences how forecasts should be made. Measurement error is obviously not directly observable. This paper shows that modelling the behaviour of the statistics agency generates an estimate of this time-variation. This provides an alternative to assuming that the final releases of variables are true. The paper applies the method to UK aggregate expenditure data, and demonstrates the gains in forecasting from exploiting these model-based estimates of measurement error.

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://www.bankofengland.co.uk/research/Documents/workingpapers/2004/WP238.pdf
Download Restriction: no

Paper provided by Bank of England in its series Bank of England working papers with number 238.

as
in new window

Length:
Date of creation: Nov 2004
Handle: RePEc:boe:boeewp:238
Contact details of provider: Postal:
Bank of England, Threadneedle Street, London, EC2R 8AH

Phone: +44 (0)171 601 4030
Fax: +44 (0)171 601 5196
Web page: http://www.bankofengland.co.uk/
Email:


More information through EDIRC

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. Busetti, Fabio, 2004. "Preliminary Data and Econometric Forecasting: An Application with the Bank of Italy Quarterly Model," CEPR Discussion Papers 4382, C.E.P.R. Discussion Papers.
  2. Nelson, Edward & Nikolov, Kalin, 2003. "UK inflation in the 1970s and 1980s: the role of output gap mismeasurement," Journal of Economics and Business, Elsevier, vol. 55(4), pages 353-370.
  3. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
  4. Aoki, Kosuke, 2003. "On the optimal monetary policy response to noisy indicators," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 501-523, April.
  5. Eric Swanson, 2000. "On Signal Extraction and Non-Certainty-Equivalence in Optimal Monetary Policy Rules," Econometric Society World Congress 2000 Contributed Papers 1085, Econometric Society.
  6. Coenen, Günter & Levin, Andrew & Wieland, Volker, 2003. "Data Uncertainty and the Role of Money as an Information Variable for Monetary Policy," CEPR Discussion Papers 3812, C.E.P.R. Discussion Papers.
  7. Richard Harrison & George Kapetanios & Tony Yates, 2004. "Forecasting with measurement errors in dynamic models," Bank of England working papers 237, Bank of England.
  8. Swanson, Eric T., 2004. "Signal Extraction And Non-Certainty-Equivalence In Optimal Monetary Policy Rules," Macroeconomic Dynamics, Cambridge University Press, vol. 8(01), pages 27-50, February.
  9. Howrey, E Philip, 1978. "The Use of Preliminary Data in Econometric Forecasting," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 193-200, May.
  10. Sargent, Thomas J, 1989. "Two Models of Measurements and the Investment Accelerator," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 251-287, April.
  11. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2005. "How the Bundesbank really conducted monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 277-292, December.
Full references (including those not matched with items on IDEAS)

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

When requesting a correction, please mention this item's handle: RePEc:boe:boeewp:238. 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: (Digital Media Team)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.