A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan
比较了机会约束数据包络分析和随机前沿分析在测量台湾39家银行技术效率上的差异，发现两种方法结果显著不同，且所有权变量始终是解释效率的重要因素。
We employed both chance-constrained data envelopment analysis (CCDEA) and stochastic frontier analysis (SFA) to measure the technical efficiency of 39 banks in Taiwan. Estimated results show that there are significant differences in efficiency scores between chance-constrained DEA and stochastic frontier production function. The advanced setting of the chance-constrained mechanism of DEA does not change the instinctive differences between DEA and SFA approaches. We further find that the ownership variable is still a significant variable to explain the technical efficiency in Taiwan, irrespective of whether a DEA, CCDEA or SFA approach is used.