The information matrix test with bootstrap-based covariance matrix estimation

We propose an information matrix (IM) test in which the covariance matrix of the vector of indicators is estimated using the parametric bootstrap. Monte Carlo results and theoretical arguments show that its small sample performance is comparable with that of the efficient score form