the bias is larger for a more persistent factor. In such a case, bootstrap procedures are effective in reducing the bias … and bootstrap confidence intervals outperform naive asymptotic confidence intervals in terms of controlling the coverage …

This paper applies a novel bootstrap method, the kernel block bootstrap, to quasi-maximum likelihood estimation of …" bootstrap. We investigate the first order asymptotic properties of the kernel block bootstrap method for quasi …-maximum likelihood demonstrating, in particular, its consistency and the first-order asymptotic validity of the bootstrap approximation …

. Bootstrap methods generally perform better than t-tests, but they can also yield very misleading inferences in some cases. …

, focusing on the wild cluster bootstrap and the ordinary wild bootstrap. We state conditions under which both asymptotic and … bootstrap tests and confidence intervals will be asymptotically valid. These conditions put limits on the rates at which the …