DEA의 효율성 평균 차이에 대한 비모수적 검증 : 부트스트랩 접근법 Bootstrapping approach = A Nonparametric Test on Mean Difference of DEA Efficiency Estimates

다국어 초록 (Multilingual Abstract)

This paper presents a nonparametric method to test if the mean difference of DEA efficiency estimates between two groups statistically exists A proposed method employs a bootstrapping approach to generating BCC efficiency estimates through Monte Carlo simulation resampling process For the purpose of demonstration, we empirically apply the proposed method to the Korean bank industry and compare its result with the result by the traditional deterministic DEA method The nonparametric statistical hypothesis testing procedure in this study, which considers not only stochastic variability of the DEA data, but also random radial deviations off the efficient frontier, serves as a useful tool for objectively evaluating whether the mean difference of DEA efficiency estimates between groups is statistically significant