This paper investigates the asymptotic validity of the bootstrap for Durbin-Wu-Hausman (DWH) specification tests when … instrumental variables (IVs) may be arbitrary weak. It is shown that under strong identification, the bootstrap offers a better … approximation than the usual asymptotic chi-square distributions. However, the bootstrap provides only a first-order approximation …

The paper develops the bootstrap theory and extends the asymptotic theory of rank estimators, such as the Maximum Rank … asymptotic distributions can be consistently estimated by the nonparametric bootstrap. We investigate the accuracy of inference … based on the asymptotic approximation and the bootstrap, and provide bounds on the associated error. In the case of MRC and …

This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonnested regression … models. The bootstrap enables us to compute the statistical significance of the differences in the measures and to formally … test on nonnested regression models. The bootstrap tests that this paper proposes are expected to show better finite sample …

error and instruments. We then propose a bootstrap procedure for correcting their size. The proposed bootstrap procedure …