IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v25y2000i2p261-278.html
   My bibliography  Save this article

The cyclical behaviour of prices in the U.K.: Some structural time series evidence

Author

Listed:
  • Imad A. Moosa

    () (Department of Economics and Finance, La Trobe University, Bundoora, Victoria 3083, Australia)

Abstract

The cyclical behaviour of prices in the U.K. is investigated using a sample of annual observations covering the period 1886-1993. A structural time series model relating consumer prices to output is estimated over four sub-periods. The results indicate that prices were procyclical in the inter-war period, countercyclical in the post-1973 period and acyclical otherwise. The proposition that the cyclical behaviour of prices is determined by the dominance of supply or demand shocks alone is disputed on the basis of empirical evidence and theoretical reasoning. It is concluded that the cyclical behaviour of prices cannot be explained just by analysing time series on output and prices and that due attention should be paid to the institutional and policy changes occurring during the period under study. It is demonstrated that the empirical results are consistent with the events experienced by the U.K. economy in the most recent period.

Suggested Citation

  • Imad A. Moosa, 2000. "The cyclical behaviour of prices in the U.K.: Some structural time series evidence," Empirical Economics, Springer, vol. 25(2), pages 261-278.
  • Handle: RePEc:spr:empeco:v:25:y:2000:i:2:p:261-278
    Note: received: November 1998/final version accepted: October 1999
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00181/papers/0025002/00250261.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Song, Haiyan & Li, Gang & Witt, Stephen F. & Athanasopoulos, George, 2011. "Forecasting tourist arrivals using time-varying parameter structural time series models," International Journal of Forecasting, Elsevier, vol. 27(3), pages 855-869, July.

    More about this item

    Keywords

    Business cycle; structural time series models; supply and demand shocks;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:spr:empeco:v:25:y:2000:i:2:p:261-278. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.