A Comparison of Marginal Likelihood Based and Approximate Point Optimal Tests for Random Regression Coefficients in the Presence of Autocorrelation

With respect to testing linear regression disturbances, two methods of test construction have recently been found to work well. These are traditional asymptotic tests based on the marginal likelihood or equivalently the likelihood of the maximal invariant and point optimal or approximate point optimal (APO) tests. The former approach has been found to work well for testing for random regression coefficients in the presence of autocorrelated errors. This paper constructs APO invariant (APOI) tests for this testing problem and extends the previous Monte Carlo study to include APOI tests. We conclude that for this testing problem, the extra work required to apply APOI tests hardly seems worthwhile, particularly for larger sample sizes.

Issue Date:
May 01 1994
Publication Type:
Working or Discussion Paper
Total Pages:
Series Statement:
Working Paper No. 4/94

 Record created 2018-01-30, last modified 2018-01-31

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