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The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico

机译:随机参数随机前沿成本函数和公共政策的有效性:墨西哥银行重组的证据

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We apply specifications ot the random parameters stochastic Frontier cost function model to estimate bank efficiency. This class of model appears to resolve the long standing problem of confounding inefficiency and heterogeneity. Mean cost efficiencies from random models are higher by as much as eleven percentage points compared to pooled OLS estimates. Whilst tests show efficiencies are not drawn from the same population, rank order efficiencies are strongly associated. In a second step, we employ the estimated efficiencies to determine the effect of foreign acquisitions on bank cost efficiency following legislative reforms made as part of Mexico's bank restructuring programme in 1995. Foreign bank acquisition does not significantly affect efficiency whereas consolidation of local banks yields significant long-term improvements in efficiency. We recommend random parameters stochastic frontier models since they better accommodate heterogeneity and produce more precise estimated efficiencies.
机译:我们应用随机参数随机前沿成本函数模型的规范来估计银行效率。此类模型似乎解决了长期存在的效率低下和异质性混杂的问题。与汇总的OLS估计相比,随机模型的平均成本效率高出11个百分点。尽管测试表明效率并非来自同一群体,但排名效率却是紧密相关的。第二步,在1995年作为墨西哥银行重组计划的一部分进行的立法改革之后,我们使用估计的效率来确定外国收购对银行成本效率的影响。外国银行收购不会显着影响效率,而本地银行的合并会产生显着影响长期提高效率。我们建议使用随机参数随机前沿模型,因为它们可以更好地适应异构性并产生更精确的估计效率。

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