classes of welfare functions. We conduct bootstrap tests for the existence of first and second order stochastic dominance …

heteroskedasticity. In order to correct the test we propose a parametric bootstrap. It is shown, by means of Monte Carlo methods, that … the bootstrap test is almost exact. …

deviate from the anticipated asymptotic one. However, by applying bootstrap methods it seems that proper critical values can …

of bootstrap testing. In short, all the algorithms work well and lead to tests with correct or close to correct size …. There is thus little or no reason not to use the bootstrap with error component models. …

The purpose of this paper is to use the bootstrap resampling technique to calculate confidence intervals for efficiency … programming models using primal production data. The bootstrap procedure is applied on a sample of Swedish eye-care departments …

estimates. Conditional on the sample at hand, the bootstrap offers a possibility to perform formal statistical hypotheses …

This paper presents a Monte Carlo simulation study of the bootstrap algorithm proposed by Löthgren and Tambour (1997 …) for calculation of bootstrap confidence intervals for the firm-specific Data Envelopment Analysis (DEA) Malmquist … productivity index. The simulation results indicate that the coverage accuracy of bootstrap confidence intervals are near the …

This paper evaluates the performance of three bootstrap algorithms for the data envelopment analysis (DEA) estimator … accuracy of bootstrap confidence intervals are simulated under both variable returns to scale (VRS) and constant return …