IDEAS home Printed from https://ideas.repec.org/p/mnb/wpaper/2003-4.html

Disaggregated Cost Pass-Through Based Econometric Inflation-Forecasting Model for Hungary

Author

Listed:
  • Viktor Várpalotai

    (Magyar Nemzeti Bank)

Abstract

This paper presents one of the inflation forecasting models used by the Magyar Nemzeti Bank in its recent inflation forecasts. The model attempts to integrate all the properties of the former models considered by the author as being advantageous and desirable into a unified framework. Thus, this model is based on disaggregated econometric estimates, complemented by expert assumptions. The model explains the prices of marketed goods using their cost factors, capturing an assumed process whereby costs gradually pass through into consumer prices. It is the empirical estimation of this slow cost-price pass-through that provides the uniqueness of the model in terms of economic and econometric theory.

Suggested Citation

  • Viktor Várpalotai, 2003. "Disaggregated Cost Pass-Through Based Econometric Inflation-Forecasting Model for Hungary," MNB Working Papers 2003/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    • Handle: RePEc:mnb:wpaper:2003/4
    as

    Download full text from publisher

    File URL: http://www.mnb.hu/letoltes/wp2003-4.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnb:wpaper:2003/4. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lorant Kaszab The email address of this maintainer does not seem to be valid anymore. Please ask Lorant Kaszab to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.