IDEAS home Printed from https://ideas.repec.org/a/eee/crcspp/v31y1989ip185-240.html
   My bibliography  Save this article

Commodity prices and aggregate inflation: Would a commodity price rule be worthwhile?

Author

Listed:
  • Baillie, Richard T.

Abstract

No abstract is available for this item.

Suggested Citation

  • Baillie, Richard T., 1989. "Commodity prices and aggregate inflation: Would a commodity price rule be worthwhile?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 31(1), pages 185-240, January.
    • Handle: RePEc:eee:crcspp:v:31:y:1989:i::p:185-240
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-2231(89)90011-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Chen, Yu-chin & Turnovsky, Stephen J. & Zivot, Eric, 2014. "Forecasting inflation using commodity price aggregates," Journal of Econometrics, Elsevier, vol. 183(1), pages 117-134.
    2. Hanan Naser, 2017. "Can Gold Investments Provide a Good Hedge Against Inflation? An Empirical Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 470-475.
    3. Afees A. Salisu & Raymond Swaray & Hadiza Sa'id, 2021. "Improving forecasting accuracy of the Phillips curve in OECD countries: The role of commodity prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2946-2975, April.
    4. Mahdavi, Saeid & Zhou, Su, 1997. "Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance," Journal of Economics and Business, Elsevier, vol. 49(5), pages 475-489.
    5. Holt, Matthew T. & Aradhyula, Satheesh V., 1998. "Endogenous risk in rational-expectations commodity models: A multivariate generalized ARCH-M approach," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 99-129, June.
    6. Michael Woodford, 1994. "Nonstandard Indicators for Monetary Policy: Can Their Usefulness Be Judged from Forecasting Regressions?," NBER Chapters, in: Monetary Policy, pages 95-115, National Bureau of Economic Research, Inc.
    7. Afees A. Salisu & Raymond Swaray & Idris Adediran, 2018. "Improving the predictability of commodity prices in US inflation: The role of coffee price," Working Papers 041, Centre for Econometric and Allied Research, University of Ibadan.

    More about this item

    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:eee:crcspp:v:31:y:1989:i::p:185-240. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jme .

    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.