IDEAS home Printed from
   My bibliography  Save this paper

Incorporating lag order selection uncertainty in parameter inference for AR models


  • George Kapetanios



Parameter inference on autoregressive models is usually carried out conditionally on a previously selected lag order. In the majority of cases the lag order selection is carried out using information criteria and in particular the Akaike (1973), Schwarz (1978) or Hannan and Quin (1979) criteria. It is well known that the latter two criteria are consistent in lag order selection in the sense of of picking the true order of the system with probability one asymptotically. On the other hand, Akaike's criterion is known to overestimate the lag order in this sense. In this note we discuss the asymptotic distribution, of the parameter estimates without conditioning on the lag order selected.

Suggested Citation

  • George Kapetanios, 2000. "Incorporating lag order selection uncertainty in parameter inference for AR models," National Institute of Economic and Social Research (NIESR) Discussion Papers 167, National Institute of Economic and Social Research.
  • Handle: RePEc:nsr:niesrd:175

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Benhabib, Jess & Schmitt-Grohe, Stephanie & Uribe, Martin, 2001. "The Perils of Taylor Rules," Journal of Economic Theory, Elsevier, vol. 96(1-2), pages 40-69, January.
    2. McCallum, Bennett T. & Nelson, Edward, 1999. "Nominal income targeting in an open-economy optimizing model," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 553-578, June.
    3. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    4. repec:sae:niesru:v:164:y::i:1:p:90-99 is not listed on IDEAS
    5. Andrew P. Blake, 1996. "Forecast Error Bounds By Stochastic Simulation," National Institute Economic Review, National Institute of Economic and Social Research, vol. 156(1), pages 72-79, May.
    6. Barrell, R. & Dury, K. & Hurst, I., 1999. "Analysing Monetary and Fiscal Policy Regimes using Deterministic and Stochastic Simulations," Economics Working Papers eco99/37, European University Institute.
    7. John B. Taylor, 1999. "A Historical Analysis of Monetary Policy Rules," NBER Chapters,in: Monetary Policy Rules, pages 319-348 National Bureau of Economic Research, Inc.
    8. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    9. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
    10. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423, March.
    11. Hall, S G, 1985. "On the Solution of Large Economic Models with Consistent Expectations," Bulletin of Economic Research, Wiley Blackwell, vol. 37(2), pages 157-161, May.
    12. Taylor, John B., 1999. "The robustness and efficiency of monetary policy rules as guidelines for interest rate setting by the European central bank," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 655-679, June.
    13. Barrell, Ray & Sefton, James, 1997. "Fiscal Policy and the Masstricht Solvency Criteria," The Manchester School of Economic & Social Studies, University of Manchester, vol. 65(3), pages 259-279, June.
    14. Ray C. Fair, 1998. "Estimated Stabilization Costs of the EMU," National Institute Economic Review, National Institute of Economic and Social Research, vol. 164(1), pages 90-99, April.
    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. Petr Kral, 2004. "Identification and Measurement of Relationships Concerning Inflow of FDI: The Case of the Czech Republic," Working Papers 2004/05, Czech National Bank, Research Department.

    More about this item


    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:nsr:niesrd:175. 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: (Library & Information Manager). 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.