scale adjustment. This bias is often unrecognized because it only affects the bootstrap estimates of the error variance, not … example from the literature, the bootstrap error variance bias can have significant distorting effects on bootstrap IRF …Constructing bootstrap confidence intervals for impulse response functions (IRFs) from structural vector autoregression …

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

, particularly when small samples are used. In addition, an upward bias is present due to dimensionality issues when the sample size … 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 …

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 …

nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar …