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首页> 外文期刊>Socio-economic planning sciences >Statistical Evaluation of Data Envelopment Analysis Versus COLS Cobb-Douglas Benchmarking Models for the 2011 Brazilian Tariff Revision
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Statistical Evaluation of Data Envelopment Analysis Versus COLS Cobb-Douglas Benchmarking Models for the 2011 Brazilian Tariff Revision

机译:数据包络分析与COLS Cobb-Douglas基准模型(2011年巴西关税修订)的统计评估

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摘要

In 2011, the Brazilian Electricity Regulator (ANEEL) implemented a benchmarking model to evaluate the operational efficiency of power distribution utilities. The model is based on two benchmarking methods: Data Envelopment Analysis (DEA) and Corrected Ordinary Least Squares (COLS) with a Cobb Douglas production function. Although the estimated scores are highly correlated, differences between the scores are as high as 41%. For some companies differences between the efficiency scores result in substantial reduction in regulatory operational costs. We provide a detailed statistical comparison which indicates that the COLS Cobb Douglas model has major deficiencies in terms of estimating efficiency scores.
机译:2011年,巴西电力监管局(ANEEL)实施了基准测试模型来评估配电公司的运营效率。该模型基于两种基准测试方法:数据包络分析(DEA)和具有Cobb Douglas生产函数的校正后的最小二乘(COLS)。尽管估计分数高度相关,但分数之间的差异高达41%。对于某些公司,效率得分之间的差异会导致监管运营成本的大幅降低。我们提供了详细的统计比较,表明COLS Cobb Douglas模型在估计效率得分方面存在重大缺陷。

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