IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v29y2004i3p463-476.html
   My bibliography  Save this article

Examining world-wide purchasing power parity

Author

Listed:
  • Tor Jacobson
  • Marianne Nessén

Abstract

We examine long-run PPP between Germany, Great Britain, Japan and the United States over the period 1930–1996 using multivariate cointegration techniques. Bilateral PPP between the four countries is examined in one system (as opposed to e.g. series of trivariate systems). In all of the statistical analysis, asymptotic tests are augmented by parametric bootstrap analogues, whereby we reduce, if not eliminate, the size distortion typically present in small-sample studies. The cointegration analysis provides support for the necessary conditions for PPP (i.e. cointegrating relations are found) but not for the sufficient conditions (i.e., the coefficients in the cointegrating relations are far from what PPP predicts). These results are at odds with results from other studies that also analyze long-horizon data sets. Copyright Springer-Verlag 2004

Suggested Citation

  • Tor Jacobson & Marianne Nessén, 2004. "Examining world-wide purchasing power parity," Empirical Economics, Springer, vol. 29(3), pages 463-476, September.
    • Handle: RePEc:spr:empeco:v:29:y:2004:i:3:p:463-476
    DOI: 10.1007/s00181-003-0176-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-003-0176-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-003-0176-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Miguel Carvalho & Paulo Júlio, 2012. "Digging out the PPP hypothesis: an integrated empirical coverage," Empirical Economics, Springer, vol. 42(3), pages 713-744, June.

    More about this item

    Keywords

    Long-run purchasing power parity; multivariate cointegration analysis; bootstrap inference; F30; C15; C32;
    All these keywords.

    JEL classification:

    • F30 - International Economics - - International Finance - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • 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

    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:29:y:2004:i:3:p:463-476. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.