1977•Journal of the American Statistical AssociationRequires access

Wald's Test as Applied to Hypotheses in Logit Analysis

Walter W. Hauck, Allan P. Donner

Open publisher page 394 citations

Abstract

For tests of a single parameter in the binomial logit model, Wald's test is shown to behave in an aberrant manner. In particular, the test statistic decreases to zero as the distance between the parameter estimate and null value increases, and the power of the test, based on its large-sample distribution, decreases to the significance level for alternatives sufficiently far from the null value.

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What this paper is about

For tests of a single parameter in the binomial logit model, Wald's test is shown to behave in an aberrant manner. In particular, the test statistic decreases to zero as the distance between the parameter estimate and null value increases, and the power of the test, based on its large-sample distribution, decreases to the significance level for alternatives sufficiently far from the null value.

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Available abstract

For tests of a single parameter in the binomial logit model, Wald's test is shown to behave in an aberrant manner. In particular, the test statistic decreases to zero as the distance between the parameter estimate and null value increases, and the power of the test, based on its large-sample distribution, decreases to the significance level for alternatives sufficiently far from the null value.

Key concepts: Wald test, Statistics, Test statistic, Mathematics, Null hypothesis, Null (SQL), Logit, Econometrics

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