well as smoothing of the DEA frontier estimate. Both bootstrap procedures allow for dependence of the inefficiency process …Non-parametric data envelopment analysis (DEA) estimators based on linear programming methods have been widely applied … one input and one output, and previous bootstrap methods proposed for inference have not been proven consistent, making …

period 2006-2009. Following Simar and Wilson (1998, 2000) we use a DEA-Bootstrapping methodology to drift appropriate … measures of DEA efficiency scores. The estimated results show that average efficiency of the most countries of the region has …

Envelopment Analysis (DEA). Using an original sample of cost and operational attributes we explore the effect of each variable on …

analysis output scores on nondiscretionary variables, both using Tobit and a single and double bootstrap procedure, we show …

Analysis (DEA). Introducing a model for the production process of an operational unit, productivity and efficiency are … estimated by DEA for units of one branch of the Norwegian armed forces. Small samples are a characteristic of DEA studies in the … find that, by using the bootstrap technique to estimate confidence intervals, we can point at the uncertainty of the …

the use of resources in various Data Envelopment Analysis (DEA) models. As the use of survey data implies that the quality … variables are measured with error, the assumptions underlying a DEA model are not strictly fulfilled. This paper focuses on ways …. The corrected quality evaluation variables are entered as outputs in the DEA model, and model specification tests indicate …

analysis and a Malmquist productivity index. The estimates are biascorrected using a bootstrap approach recently developed for … DEA models. The results show that bias correction and the construction of confidence intervals give a quite different …

service activities carried out by tax offices are specified. A bootstrap approach recently developed for DEA models is applied …