Advanced Search
MyIDEAS: Login

A Framework for Forecasting the Components of the Consumer Price Index: application to South Africa

Contents:

Author Info

  • Janine Aron
  • John Muellbauer
  • Coen Pretorius

Abstract

Inflation is a far from homogeneous phenomenon, but this fact is ignored in most work on consumer price inflation. Using a novel methodology grounded in theory, the ten sub-components of the consumer price index (excluding mortgage interest rates, or CPIX) for South Africa are modeled separately and forecast, four quarters ahead. The method combines equilibrium correction models in a rich multivariate form with the use of stochastic trends estimated by the Kalman filter to capture structural breaks and institutional change. This research is of considerable practical use for monetary policy, allowing sectoral sources of inflation to be identified. Aggregating the forecasts of the components with appropriate weights from the overall index, potentially indicates the gains to be made in forecasting the idiosyncratic sectoral behaviour of prices, over forecasting the overall consumer price index.

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://www.csae.ox.ac.uk/workingpapers/pdfs/2004-07text.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Centre for the Study of African Economies, University of Oxford in its series CSAE Working Paper Series with number 2004-07.

as in new window
Length:
Date of creation: 2004
Date of revision:
Handle: RePEc:csa:wpaper:2004-07

Contact details of provider:
Postal: Manor Road, Oxford, OX1 3UQ
Phone: +44-(0)1865 271084
Fax: +44-(0)1865 281447
Email:
Web page: http://www.csae.ox.ac.uk/
More information through EDIRC

Related research

Keywords:

Find related papers by JEL classification:

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. Weiss, Andrew A., 1991. "Multi-step estimation and forecasting in dynamic models," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 135-149.
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. Janine Aron & John Muellbauer, 2004. "Construction of CPIX Data for Forecasting and Modelling in South Africa," CSAE Working Paper Series 2004-09, Centre for the Study of African Economies, University of Oxford.
  2. Janine Aron & John Muellbauer, 2004. "Construction of CPIX Data for Forecasting and Modelling in South Africa," Economics Series Working Papers WPS/2004-09, University of Oxford, Department of Economics.
  3. Janine Aron & John Muellbauer, 2008. "Multi-sector inflation forecasting - quarterly models for South Africa," Economics Series Working Papers WPS/2008-27, University of Oxford, Department of Economics.

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:csa:wpaper:2004-07

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

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.