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Testing AR(1) Against MA(1) Disturbances in the Linear Regression Model: An Alternative Procedure

Author

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  • S. P. Burke
  • L. G. Godfrey
  • A. R. Tremayne

Abstract

This paper is concerned with the problem of testing the hypothesis that the disturbances of a regression model are generated by a first-order autoregressive process against the alternative assumption that they follow a first-order moving average scheme. The test proposed has the advantages of requiring only ordinary least squares estimation and of being simple to implement. Some Monte Carlo results on the finite sample behaviour of the test are provided.

Suggested Citation

  • S. P. Burke & L. G. Godfrey & A. R. Tremayne, 1990. "Testing AR(1) Against MA(1) Disturbances in the Linear Regression Model: An Alternative Procedure," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 135-145.
    • Handle: RePEc:oup:restud:v:57:y:1990:i:1:p:135-145.
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    Citations

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    Cited by:

    1. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.
    2. Andrea Vaona, 2014. "A panel data approach to price–value correlations," Empirical Economics, Springer, vol. 47(1), pages 21-34, August.
    3. James F. Ragan & Bernt Bratsberg, 2000. "Un‐COLA: Why Have Cost‐of‐Living Clauses Disappeared from Union Contracts and Will They Return?," Southern Economic Journal, John Wiley & Sons, vol. 67(2), pages 304-324, October.
    4. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, Osaka University.
    5. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    6. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.

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