Technical and allocative inefficiency in production systems: a vine copula approach

Modeling the error terms in stochastic frontier models of production systems requires multivariate distributions with certain characteristics. We argue that canonical vine copulas offer a natural way to model the pairwise dependence between the two main error types that arise in production systems w...

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Main Authors: Zhai Jian, James Robert, Prokhorov Artem
Format: Article
Language:English
Published: De Gruyter 2022-05-01
Series:Dependence Modeling
Subjects:
Online Access:https://doi.org/10.1515/demo-2022-0108
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author Zhai Jian
James Robert
Prokhorov Artem
author_facet Zhai Jian
James Robert
Prokhorov Artem
author_sort Zhai Jian
collection DOAJ
description Modeling the error terms in stochastic frontier models of production systems requires multivariate distributions with certain characteristics. We argue that canonical vine copulas offer a natural way to model the pairwise dependence between the two main error types that arise in production systems with multiple inputs. We introduce a vine copula construction that permits dependence between the magnitude (but not the sign) of the errors. By using a recently proposed family of copulas, we show how to construct a simulated likelihood based on C-vines. We discuss issues that arise in the estimation of such models and outline why such models better reflect the dependencies that arise in practice. Monte Carlo simulations and a classic empirical application to electricity generation plants illustrate the utility of the proposed approach.
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spelling doaj.art-1cfcd60cbc764a9ea6145f620e889b3c2022-12-22T04:28:59ZengDe GruyterDependence Modeling2300-22982022-05-0110114515810.1515/demo-2022-0108Technical and allocative inefficiency in production systems: a vine copula approachZhai Jian0James Robert1Prokhorov Artem2Discipline of Business Analytics, Business School, University of Sydney, Sydney, NSW, AustraliaDiscipline of Business Analytics, Business School, University of Sydney, Sydney, NSW, AustraliaDiscipline of Business Analytics, Business School, University of Sydney, Sydney, AustraliaModeling the error terms in stochastic frontier models of production systems requires multivariate distributions with certain characteristics. We argue that canonical vine copulas offer a natural way to model the pairwise dependence between the two main error types that arise in production systems with multiple inputs. We introduce a vine copula construction that permits dependence between the magnitude (but not the sign) of the errors. By using a recently proposed family of copulas, we show how to construct a simulated likelihood based on C-vines. We discuss issues that arise in the estimation of such models and outline why such models better reflect the dependencies that arise in practice. Monte Carlo simulations and a classic empirical application to electricity generation plants illustrate the utility of the proposed approach.https://doi.org/10.1515/demo-2022-0108vine copulasproduction frontierallocative inefficiencytechnical inefficiency62h0562p2091b38
spellingShingle Zhai Jian
James Robert
Prokhorov Artem
Technical and allocative inefficiency in production systems: a vine copula approach
Dependence Modeling
vine copulas
production frontier
allocative inefficiency
technical inefficiency
62h05
62p20
91b38
title Technical and allocative inefficiency in production systems: a vine copula approach
title_full Technical and allocative inefficiency in production systems: a vine copula approach
title_fullStr Technical and allocative inefficiency in production systems: a vine copula approach
title_full_unstemmed Technical and allocative inefficiency in production systems: a vine copula approach
title_short Technical and allocative inefficiency in production systems: a vine copula approach
title_sort technical and allocative inefficiency in production systems a vine copula approach
topic vine copulas
production frontier
allocative inefficiency
technical inefficiency
62h05
62p20
91b38
url https://doi.org/10.1515/demo-2022-0108
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AT prokhorovartem technicalandallocativeinefficiencyinproductionsystemsavinecopulaapproach