treated in the compilation of a house price index. An empirical bootstrap study, based on advertised co-operative flats in …

cannot be considered as reliable measures. The DEA Bootstrap addresses this limitation of the DEA method as it provides the … efficiency scores with stochastic properties. However, the DEA Bootstrap is still inappropriate in the presence of small samples …. In this context, we introduce a new method that draws on random data generation procedures, unlike Bootstrap which is …

an adverse impact on the efficiency level of state-owned banks. The bootstrap approach demonstrates that the majority of …

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 …

of the forecaster and use bootstrap techniques to compare the empirical results with the equivalents obtained under the …

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 …