estimator is biased upwards (downwards). Using the bias function, we then show the mechanism of the parametric bootstrap ….This motivates us to propose a simultaneous multi-level bootstrap procedure so as to further correct the remaining bias. The …-level bootstrap algorithm is feasible and does not suffer from the curse of dimensionality. Monte Carlo evidence supports the …

consider a bootstrap approximation to determine <InlineEquation ID="IEq2"> <EquationSource Format …

new tests are bootstrap implementations of score-based tests for the order of integration of a fractionally integrated … using a standard i.i.d. bootstrap admit pivotal asymptotic null distributions in the presence of heteroskedasticity, but … that the corresponding tests based on the wild bootstrap principle do. A Monte Carlo simulation study demonstrates that …

procedure, based on bootstrap techniques, for testing the significance of environmental factors on directional efficiency scores …

This paper demonstrates that the bootstrap procedure suggested by Ferrier and Hirschberg (1997) gives inconsistent …

, the bootstrap technique allows us to determine the confidence intervals of all components of the labor productivity …

This paper considers the provision of some important municipal services and applies the non-parametric double bootstrap … inference are invalid, and they develop a bootstrap approach that yields valid inference in second stage regressions when these …

Hirschberg (1997). A simple experiment is devised to demonstrate that in the one-input, one-output case the bootstrap of the non …-modified DEA scores is not a failure of the bootstrap. Copyright Kluwer Academic Publishers 1999 …