IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v51y2001i4p279-297.html
   My bibliography  Save this article

Comparison of Selected Simple Models of Inflation in the Czech Economy

Author

Listed:
  • Martin Melecký

Abstract

This paper begins with a description of simple select models of inflation and their ability to fit the data. The paper in turn measures the stability of particular parsimonious models. One-step forecast tests are applied, which establish the instability of the money demand model compared with other models, despite its ability to fit the data nearly as well as the P-star model. Further, the forecasting performances of the selected parsimonious models are analyzed, though only the performance of one-step forecasts are fully treated given the insufficient descriptive ability of the AR processes of explanatory variables. As a measure of forecast ability, the author employs U-statistic, RMSE, and MAE tests. The above statistics assign the best-forecast performance to the modified version of the P-star model of inflation for a small, open economy.

Suggested Citation

  • Martin Melecký, 2001. "Comparison of Selected Simple Models of Inflation in the Czech Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 51(5), pages 279-297, May.
  • Handle: RePEc:fau:fauart:v:51:y:2001:i:4:p:279-297
    as

    Download full text from publisher

    File URL: http://journal.fsv.cuni.cz/storage/349_003_279.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    inflation; traditional monetary model; Phillips model; Portfolio model; P-star model; forecasting performance;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:fau:fauart:v:51:y:2001:i:4:p:279-297. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.