IDEAS home Printed from
   My bibliography  Save this paper

A Generalized Method of Moments Estimator for Long-Memory Processes


  • Tieslau, M.A.
  • Schmidt, P.
  • Baillie, R.T.


No abstract is available for this item.

Suggested Citation

  • Tieslau, M.A. & Schmidt, P. & Baillie, R.T., 1992. "A Generalized Method of Moments Estimator for Long-Memory Processes," Papers 9100, Michigan State - Econometrics and Economic Theory.
  • Handle: RePEc:fth:mistet:9100

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    1. Sachs, J.D., 1991. "Accelerating Privatizatiob in Eastern Europe: The Case of Poland," Research Paper 92, World Institute for Development Economics Research.
    2. Lee, B. & Nellis, J., 1990. "Enterprise Reform And Privatization In Socialist Economies," World Bank - Discussion Papers 104, World Bank.
    3. Sebastian Edwards, 1990. "The Sequencing of Economic Reform: Analytical Issues and Lessons from Latin American Experiences," The World Economy, Wiley Blackwell, vol. 13(1), pages 1-14, March.
    4. Baumol, William J., 1996. "Entrepreneurship: Productive, unproductive, and destructive," Journal of Business Venturing, Elsevier, vol. 11(1), pages 3-22, January.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Koop, Gary & Ley, Eduardo & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 149-169.

    More about this item


    econometrics ; time series;


    Access and download statistics


    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:fth:mistet:9100. 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: (Thomas Krichel). General contact details of provider: .

    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.