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On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations

机译:关于小组随机生产前端系统模型技术和分配效率的估算:一些新的配方和概括

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In this paper we propose some alternative formulations and estimation of technical and allocative inefficiency in the presence of some exogenous variables in the context of a panel stochastic frontier model which includes time-invariant firm effects (heterogeneity) along with time-varying technical inefficiency and random noise. These exogenous variables are used to explain technical and allocative inefficiency as well as firm heterogeneity. The presence of these exogenous variables allows us to relax some of the assumptions made in a recent paper by Lai and Kumbhakar (2019). These variables also allow to add flexibility in estimating the model parameters as well as both technical and allocative inefficiency and costs therefrom. More specifically, the incidental parameters problem associated with firm heterogeneity in the production function as well in the first-order conditions of cost minimization can be avoided by parameterizing them in terms of the exogenous variables. We propose and implement model comparison based on Bayes factors and marginal likelihood. (C) 2020 Elsevier B.V. All rights reserved.
机译:在本文中,我们在面板随机前沿模型的背景下提出了一些替代的制剂和估算了一些外源变量的外源性变量,包括时间不变的公司效应(异质性)以及时变技术低效率和随机性噪音。这些外源性变量用于解释技术和分配低效率以及坚固的异质性。这些外源性变量的存在使我们能够通过Lai和Kumbhakar(2019年)放宽最近纸张中的一些假设。这些变量还允许在估计模型参数以及技术和拨款的效率低下和成本方面增加灵活性。更具体地,通过在外源变量方面,可以避免在生产功能中与生产功能的坚固异质性相关联的偶然参数问题。我们提出并根据贝叶斯因子和边际可能性实施模型比较。 (c)2020 Elsevier B.v.保留所有权利。

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