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Constraints in models of production and cost via slack-based measures

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Constraints in models of production and cost via slack-based measures. / Khan, Caroline; Tsionas, Mike G.
In: Empirical Economics, 10.02.2021.

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Khan C, Tsionas MG. Constraints in models of production and cost via slack-based measures. Empirical Economics. 2021 Feb 10. Epub 2021 Feb 10. doi: 10.1007/s00181-020-02013-z

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@article{77f33307f67741e491eb7e641e7d9ab6,
title = "Constraints in models of production and cost via slack-based measures",
abstract = "In this paper, we propose the use of stochastic frontier models to impose theoretical regularity constraints (like monotonicity and concavity) on flexible functional forms. These constraints take the form of inequalities involving the data and the parameters of the model. We address a major concern when statistically endogenous variables are present in these inequalities. We present results with and without endogeneity in the inequality constraints. In the system case (e.g., cost-share equations) or more generally, in production function-first-order conditions case, we detect an econometric problem which we solve successfully. We provide an empirical application to US electric power generation plants during 1986–1997, previously used by several authors.",
author = "Caroline Khan and Tsionas, {Mike G.}",
year = "2021",
month = feb,
day = "10",
doi = "10.1007/s00181-020-02013-z",
language = "English",
journal = "Empirical Economics",
issn = "0377-7332",
publisher = "Springer-Verlag",

}

RIS

TY - JOUR

T1 - Constraints in models of production and cost via slack-based measures

AU - Khan, Caroline

AU - Tsionas, Mike G.

PY - 2021/2/10

Y1 - 2021/2/10

N2 - In this paper, we propose the use of stochastic frontier models to impose theoretical regularity constraints (like monotonicity and concavity) on flexible functional forms. These constraints take the form of inequalities involving the data and the parameters of the model. We address a major concern when statistically endogenous variables are present in these inequalities. We present results with and without endogeneity in the inequality constraints. In the system case (e.g., cost-share equations) or more generally, in production function-first-order conditions case, we detect an econometric problem which we solve successfully. We provide an empirical application to US electric power generation plants during 1986–1997, previously used by several authors.

AB - In this paper, we propose the use of stochastic frontier models to impose theoretical regularity constraints (like monotonicity and concavity) on flexible functional forms. These constraints take the form of inequalities involving the data and the parameters of the model. We address a major concern when statistically endogenous variables are present in these inequalities. We present results with and without endogeneity in the inequality constraints. In the system case (e.g., cost-share equations) or more generally, in production function-first-order conditions case, we detect an econometric problem which we solve successfully. We provide an empirical application to US electric power generation plants during 1986–1997, previously used by several authors.

U2 - 10.1007/s00181-020-02013-z

DO - 10.1007/s00181-020-02013-z

M3 - Journal article

JO - Empirical Economics

JF - Empirical Economics

SN - 0377-7332

ER -