IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v31y1999i4p517-524.html
   My bibliography  Save this article

Lag length selection in vector autoregressive models: symmetric and asymmetric lags

Author

Listed:
  • Omer Ozcicek
  • W. DOUGLAS McMILLIN

Abstract

This study used Monte Carlo simulations to study the performance of alternative lag selection criterion for symmetric lag and asymmetric lag vector autoregressive models. Lag models with short lags and with long lags were considered. The alternative criteria considered were the AIC, SIC, Phillips' Posterior Information Criterion, and Keating's modification of the AIC and SIC. The alternative criteria were evaluated by computing the frequency distribution of lags selected, by computing the out-of-sample forecasting performance of models with lags selected using each criterion, and by comparing the ability of models with lags selected using each criterion to mimic the 'true' impulse response functions for the lag model.

Suggested Citation

  • Omer Ozcicek & W. DOUGLAS McMILLIN, 1999. "Lag length selection in vector autoregressive models: symmetric and asymmetric lags," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 517-524.
  • Handle: RePEc:taf:applec:v:31:y:1999:i:4:p:517-524
    DOI: 10.1080/000368499324237
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368499324237
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    as
    1. Peter C.B. Phillips, 1994. "Model Determination and Macroeconomic Activity," Cowles Foundation Discussion Papers 1083, Cowles Foundation for Research in Economics, Yale University.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Rangan Gupta & Stephen Miller, 2012. "“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 763-782, June.
    2. Frank Browne & David Doran, 2005. "Do equity index industry groups improve forecasts of inflation and production? A US analysis," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1801-1812.
    3. Hiona Balfoussia & Heather D. Gibson, 2016. "Financial conditions and economic activity: the potential impact of the targeted long-term refinancing operations (TLTROs)," Applied Economics Letters, Taylor & Francis Journals, vol. 23(6), pages 449-456, April.
    4. Laing, Andrew R. & Nolan, James F., 2009. "Price Dynamics and Market Structure in Transportation: For-Hire Grain Trucking Along the Alberta- Saskatchewan Border," 50th Annual Transportation Research Forum, Portland, Oregon, March 16-18, 2009 207599, Transportation Research Forum.
    5. Martins Iyoboyi & Ummu Ahmad Jalingo & Ahmad Tsauni, 2016. "Impact of Institutions on Macroeconomic Performance in Nigeria: 1980-2013," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(3), pages 193-221.
    6. Wu, Man-Hwa & Ni, Yen-Sen, 2011. "The effects of oil prices on inflation, interest rates and money," Energy, Elsevier, vol. 36(7), pages 4158-4164.
    7. Gupta, Abhay, 2004. "Comparing Bank Lending Channel in India and Pakistan," MPRA Paper 9281, University Library of Munich, Germany.
    8. Albis, Manuel Leonard F. & Mapa, Dennis S., 2014. "Bayesian Averaging of Classical Estimates in Asymmetric Vector Autoregressive (AVAR) Models," MPRA Paper 55902, University Library of Munich, Germany.
    9. George Vamvoukas, 2002. "Budget Deficits and Interest Rates in a Small Open," International Economic Journal, Taylor & Francis Journals, vol. 16(2), pages 31-36.
    10. Vale, Sergio Rodrigo, 2005. "Inflation, Growth and Real and Nominal Uncertainty: Some Bivariate Garch-in-Mean Evidence for Brazil," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 59(1), January.
    11. Keating, John W., 2000. "Macroeconomic Modeling with Asymmetric Vector Autoregressions," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 1-28, January.

    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:taf:applec:v:31:y:1999:i:4:p:517-524. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.