The Calculation of the Information Matrix Test for Binary Data Models

This paper presents a simple calculation procedure for the information matrix test statistic, in the context of binary data models, which employs the asymptotically efficient maximum likelihood estimator of the covariance matrix, as opposed to the highly stochastic "output product of the gradient" estimator proposed by T. Lancaster (1984) and others.