The bootstrap is a statistical technique used more and more widely in econometrics. While it is capable of yielding …, if observed, help to obtain the best the bootstrap can offer. Bootstrapping always involves setting up a bootstrap data …-generating process (DGP). The main types of bootstrap DGP in current use are discussed, with examples of their use in econometrics. The …

methods (i.e., the asymptotic distribution versus the bootstrap) have been proposed. In this paper, we compare these methods …

parametric, based on Bootstrap and Functional Principal Components. The power of the test is shown through an extensive …

This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap standard errors … desired level of accuracy. Accuracy is measured by the percentage deviation of the bootstrap standard error estimate …, confidence interval endpoint(s), test's critical value, or test's p-value based on B bootstrap simulations from the corresponding …

, but it can often be estimated very accurately by using the bootstrap. The latter does not depend on unknown population …

cannot be constructed. Therefore, the authors have proposed a bootstrap method to construct the hypothesis test for them on … the basis of p -value. Findings The authors have shown that by increasing n , the bootstrap method has better output …