Classical tests for contemporaneously uncorrelated disturbances in the linear simultaneous equations model

This paper obtains the score vector, the information matrix, and the Cramer-Rao lower bound for the parameters of the linear simultaneous equations model. These concepts are then used to construct the Lagrange multiplier test statistic and the Wald test statistic for the null hypothesis that the dis...

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Veröffentlicht in:Journal of econometrics 1989-11, Vol.42 (3), p.299-317
1. Verfasser: Turkington, Darrell A.
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper obtains the score vector, the information matrix, and the Cramer-Rao lower bound for the parameters of the linear simultaneous equations model. These concepts are then used to construct the Lagrange multiplier test statistic and the Wald test statistic for the null hypothesis that the disturbances of the model are contemporaneously uncorrelated. A straightforward procedure is given for forming the Lagrange multiplier test statistic.
ISSN:0304-4076
1872-6895
DOI:10.1016/0304-4076(89)90055-9