Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/mmf/mmfc06/137.html
   My bibliography  Save this paper

Inflation persistence in the euro-area, US, and new members of the EU: Evidence from time-varying coefficient models

Author

Listed:
  • Zsolt Darvas

    (Corvinus University of Budapest)

  • Balázs Varga

    (Corvinus University of Budapest)

Abstract
This paper studies inflation persistence with time-varying-coefficient autoregressions in response to recently discovered structural breaks in historical inflation time series of the euro-area and the US. To this end, we compare the statistical properties of the well known ML estimation using the Kalman-filter and the less known Flexible Least Squares estimator by Monte Carlo simulation. We also suggest a procedure for selecting the weight for FLS based on an iterative Monte Carlo simulation technique calibrated to the time series in question. We apply the methods for the study of inflation persistence of the US, the euro-area and the new members of the EU

Suggested Citation

  • Zsolt Darvas & Balázs Varga, 2007. "Inflation persistence in the euro-area, US, and new members of the EU: Evidence from time-varying coefficient models," Money Macro and Finance (MMF) Research Group Conference 2006 137, Money Macro and Finance Research Group.
  • Handle: RePEc:mmf:mmfc06:137
    as

    Download full text from publisher

    File URL: http://www.uni-corvinus.hu/darvas/pdf/Darvas_Varga_PERSIST_paper.pdf
    File Function: main text
    Download Restriction: no

    File URL: http://repec.org/mmf2006/up.21061.1145742414.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Michal Franta & Branislav Saxa & Kateøina Šmídková, 2010. "The Role of Inflation Persistence in the Inflation Process in the New EU Member States," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 480-500, December.

    More about this item

    Keywords

    flexible least squares; inflation persistence; Kalman-filter; time-varying coefficient models;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mmf:mmfc06:137. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.essex.ac.uk/afm/mmf/index.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.