A comparison of DEA and the stochastic frontier model using panel data

John Ruggiero

106 citations0/0 files storedInternational Transactions in Operational Research

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Efficiency Analysis Using DEA Sports Analytics and Performance Spatial and Panel Data Analysis

Abstract

Abstract Two competing approaches for the measurement of efficiency are the stochastic frontier model and data envelopment analysis (DEA). Previous research has established that the two models applied to cross‐sectional data are both adversely affected by measurement error. While the cross‐sectional stochastic frontier model does not effectively handle statistical noise, panel data models do. This is true because additional information from multiple time periods is incorporated into the estimation. A panel data DEA model that uses averaged data has been shown to effectively smooth out measurement error. In this paper, we compare the panel data models using simulated data.

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References

1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 1977Formulation and estimation of stochastic frontier production function models 1982On the estimation of technical inefficiency in the stochastic frontier production function model 1980Maximum likelihood estimation of econometric frontier functions 1985Frontier production functions 1993Frontier Production Functions 1992Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data

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