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Comparing mean efficiency and productivity scores from small samples: A bootstrap methodology
Authors:Scott E Atkinson  Paul W Wilson
Institution:(1) Department of Economics, University of Georgia, 30602 Athens, GA;(2) Department of Economics, University of Texas, 78712 Austin, TX
Abstract:This paper provides a bootstrap methodology for constructing confidence intervals for means of DEA and econometrically estimated efficiency scores, Malmquist productivity indices, and other similar measures in small samples. The procedure is nonparametric since no distributional assumptions are required. An empirical example is provided.This research was performed while Wilson was under contract with the Management Science Group, US Department of Veterans Affairs, Bedford, MA 01730.
Keywords:Bootstrap  Data Envelopment Analysis  fixed and random effects  Malmquist index  productivity measurement  small sample  panel data
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