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A model selection test for an AR (1) versus an MA (1) model

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  • Franses, Philip Hans

Abstract

This paper proposes a model selection test statistic for the choice between an AR(1) and an MA(1) model. It is a function of the first two sample autocorrelations of a time series. This establishes that it can be compared directly with a statistic given in Burke, Godfrey and Tremayne (1990). From Monte Carlo evidence it appears that the new test meets its purpose more.

Suggested Citation

  • Franses, Philip Hans, 1992. "A model selection test for an AR (1) versus an MA (1) model," Statistics & Probability Letters, Elsevier, vol. 15(4), pages 281-284, November.
    • Handle: RePEc:eee:stapro:v:15:y:1992:i:4:p:281-284
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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. 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.

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    Keywords

    Time series model selection;

    Statistics

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