Estimating Confidence Intervals of DEA efficiency in Iranian Gas Preventional Companies using Bootstrapping

This article explores how the smoothed bootstrap method is applied to calculate confidence intervals for efficiency measures are obtained from data envelopment analysis (DEA). The bootstrap procedure is applied on data of Iranian Gas Preventional Companies from year 2006. The main focus is the smoothed homogeneous bootstrap procedure introduced by Simar and Wilson (1998) to implement statistical inference for the original efficiency point estimates. The paper estimates the bias and the confidence interval of the output-based technical efficiency scores with CRS, using the DEAOS Web Service developed by Behin-Cara (2005).

کلیدواژه ها:

Data Envelopment Analysis ، smoothed bootstrap method