A Monte Carlo study of old and new frontier methods for efficiency measurementJens J. Krüger2012-04-27articleEuropean Journal of Operational Research53 citationsclosedNo readable copy stored yet — this record is metadata only.Efficiency Analysis Using DEASports Analytics and PerformanceAdvanced Statistical Methods and ModelsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 53 citations exist upstream.References1978Measuring the efficiency of decision making units1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis1977Formulation and estimation of stochastic frontier production function models1977Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error2000Stochastic Frontier Analysis1982On the estimation of technical inefficiency in the stochastic frontier production function model1995Multi-Output Production and Duality: Theory and Applications1972Efficiency Estimation of Production FunctionsCited by2019Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis2015Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation