In an attempt to free bootstrap theory from the shackles of asymptotic considerations, this paper studies the … possibility of justifying, or validating, the bootstrap, not by letting the sample size tend to infinity, but by considering the … sequence of bootstrap P values obtained by iterating the bootstrap. The main idea of the paper is that, if this sequence …

bootstrap, which involve the new CRVEs, jackknife-based bootstrap data-generating processes, or both. Extensive simulation …

Since the introduction of bootstrap DEA there is a growing literature on applications which use this method, mainly for … hypothesis testing. It is therefore important to establish the consistency and evaluate the performance of bootstrap DEA. The few … coverage probabilities are not a good tool of assessment. In our study we evaluate the performance of bootstrap DEA using the …

This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of … that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel …

This paper shows how to bootstrap hypothesis tests in the context of the Parks’s (1967) Feasible Generalized Least … Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)’s top competitor. The FGLS(Parks) estimator …

The standard forms of bootstrap iteration are very computationally demanding. As a result, there have been several … attempts to alleviate the computational burden by use of approximations. In this paper, we extend the fast double bootstrap of … demands increase exponentially. In a series of simulation experiments, we show that the fast triple bootstrap improves on both …