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A Bounds Test of Equality Between Sets of Coefficients in Two Linear Regressions When Disturbance Variances are Unequal

Masahito Kobayashi
Journal of the American Statistical Association
Vol. 81, No. 394 (Jun., 1986), pp. 510-513
DOI: 10.2307/2289242
Stable URL: http://www.jstor.org/stable/2289242
Page Count: 4
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A Bounds Test of Equality Between Sets of Coefficients in Two Linear Regressions When Disturbance Variances are Unequal
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Abstract

This article considers the Wald test statistic for testing equality between sets of coefficients in two linear regressions when the disturbance variances are unequal. It is shown that the distribution of the test statistic under the null hypothesis is bounded, asymptotically up to the second order, by the distributions of two F variates multiplied by the number of the regressors.

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