Reprint of: Formulation and estimation of stochastic frontier production function models

被引：4

作者：

Aigner, Dennis ^{[1
,2
]}

Lovell, C. A. Knox ^{[3
]}

Schmidt, Peter ^{[3
]}

机构：

[1] Univ Wisconsin, Madison, WI 53706 USA

[2] Univ Southern Calif, Los Angeles, CA 90007 USA

[3] Univ N Carolina, Chapel Hill, NC 27514 USA

来源：

JOURNAL OF ECONOMETRICS | 2023年 / 234卷

关键词：

Stochastic models - Stochastic systems;

D O I：

10.1016/j.jeconom.2023.01.023

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Previous studies of the so-called frontier production function have not utilized an adequate characterization of the disturbance term for such a model. In this paper we provide an appropriate specification, by defining the disturbance term as the sum of symmetric normal and (negative) half-normal random variables. Various aspects of maximum-likelihood estimation for the coefficients of a production function with an additive disturbance term of this sort are then considered. (c) 2023 Published by Elsevier B.V.

引用

页码：15 / 24

页数：10

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