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Further results on estimating inefficiency effects in stochastic frontier models

机译:进一步导致估算随机前沿模型中的低效率效应

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Paul and Shankar [Satya Paul, Sriram Shankar, On Estimating Efficiency Effects in a Stochastic Frontier Model, European Journal of Operational Research (2018)] proposed an inefficiency effects stochastic frontier model which is easy to implement and avoids some of the difficulties of existing models. Unfortunately, the model has the restrictive feature that the ratio of the inefficiency effects of any two environmental variables remains fixed independently of the values of the variables. We modify the model so that this restriction can be avoided. Moreover, we provide a substantive extension of the model under quite general endogeneity assumptions. In turn, the model can be estimated using the Generalized Method of Moments technique allowing identification of efficiency estimates and inefficiency effects. (C) 2018 Elsevier B.V. All rights reserved.
机译:Paul和Shankar [Satya Paul,Sriram Shankar,欧洲运营研究中估算效率效应,欧洲运营研究(2018)]提出了一种效应的随机边疆模型,易于实施,避免了现有模型的一些困难 。 不幸的是,该模型具有限制性的特征,即任何两个环境变量的低效率效应的比率仍然独立于变量的值固定。 我们修改模型,以便可以避免此限制。 此外,我们在相当一般的内生状率下提供了模型的实质性延伸。 反过来,可以使用允许鉴定效率估算和效率效应的矩形技术的广义方法来估计该模型。 (c)2018年elestvier b.v.保留所有权利。

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