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Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers

机译:巴西直辖市的技术效率:校正异常值的非参数边界测量

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In this paper we estimate the DEA technical efficiency for 4796 Brazilian municipalities, by applying a recently proposed "Jackstrap" method, which combines Bootstrap and Jackknife resampling techniques, to reduce the effect of outliers and possible errors in the data set. We perform calculations to identify and eliminate high leverage municipalities, using different variants of Data Envelopment Analysis (DEA), as well as Free Disposal Hull (FDH). Corroborating previous results, efficiency results for the Brazilian municipalities show a clear relationship between the size of the municipality and its efficiency scores. Indeed, under both DEA variants, smaller cities tend to be less efficient than larger ones hence indicating that the quality of the frontier adjustment improves significantly as the size of the municipality increases. We present arguments that may explain to some extent these findings, such as economies of scale and the excess spending due to revenue from royalties. However, such effects require further, more careful examination.
机译:在本文中,我们通过应用最近提出的“ Jackstrap”方法(结合了Bootstrap和Jackknife重采样技术)来估计4796个巴西直辖市的DEA技术效率,以减少异常值的影响和数据集中可能的错误。我们使用数据包络分析(DEA)和自由处置船体(FDH)的不同变体进行计算,以识别和消除高杠杆市政。巴西市政当局的效率结果证实了先前的结果,表明该市政当局的规模与其效率得分之间存在明显的关系。实际上,在两种DEA变体下,小城市的效率往往不如大城市,因此表明,随着城市规模的扩大,边境调整的质量将显着提高。我们提出的论点可以在一定程度上解释这些发现,例如规模经济和由于特许权使用费产生的超额支出。但是,这种影响需要进一步,更仔细的检查。

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