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Efficiency Measurement in Norwegian Electricity Distribution: A Generalized Four-Way-Error-Component Stochastic Frontier Model

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Efficiency Measurement in Norwegian Electricity Distribution: A Generalized Four-Way-Error-Component Stochastic Frontier Model. / Tsionas, Mike G.; Kumbhakar, Subal C.
In: Energy Journal, Vol. 44, No. 2, 30.11.2023, p. 181-203.

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Tsionas MG, Kumbhakar SC. Efficiency Measurement in Norwegian Electricity Distribution: A Generalized Four-Way-Error-Component Stochastic Frontier Model. Energy Journal. 2023 Nov 30;44(2):181-203. Epub 2023 Nov 30. doi: 10.5547/01956574.44.2.mtsi

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@article{1e09ce24e2a0427ba9a0054a0f566dbe,
title = "Efficiency Measurement in Norwegian Electricity Distribution: A Generalized Four-Way-Error-Component Stochastic Frontier Model",
abstract = "In this paper, we introduce a new model to estimate efficiency by generalizing the state-of-the-art panel stochastic frontier model, the salient feature of which is decomposition of inefficiency into a persistent and a transient component. The proposed model introduces an autoregressive process to allow for temporal dependence in transient inefficiency. Both firm heterogeneity and persistent inefficiency components are allowed to be correlated with some exogenous and endogenous covariates in the model. Our model solves the endogeneity problem and it also introduces determinants of both persistent and transient inefficiency. Since the transient component is autoregressive, the likelihood function is not available in closed form. To address this problem we use the Maximum Simulated Likelihood and (Simulated or Bayes) Generalized Method of Moments method to estimate the parameters and several other quantities of interest, including transient and persistent inefficiency. Since the model is dynamic and accommodates determinants of inefficiency, it is useful to production managers who wish to identify how much of their present inefficiency is affected by past inefficiency, as well as how and in what ways efficiency can be improved. We use Norwegian electricity distribution data to showcase an application of our model.",
keywords = "General Energy, Economics and Econometrics",
author = "Tsionas, {Mike G.} and Kumbhakar, {Subal C.}",
year = "2023",
month = nov,
day = "30",
doi = "10.5547/01956574.44.2.mtsi",
language = "English",
volume = "44",
pages = "181--203",
journal = "Energy Journal",
issn = "0195-6574",
publisher = "International Association for Energy Economics",
number = "2",

}

RIS

TY - JOUR

T1 - Efficiency Measurement in Norwegian Electricity Distribution

T2 - A Generalized Four-Way-Error-Component Stochastic Frontier Model

AU - Tsionas, Mike G.

AU - Kumbhakar, Subal C.

PY - 2023/11/30

Y1 - 2023/11/30

N2 - In this paper, we introduce a new model to estimate efficiency by generalizing the state-of-the-art panel stochastic frontier model, the salient feature of which is decomposition of inefficiency into a persistent and a transient component. The proposed model introduces an autoregressive process to allow for temporal dependence in transient inefficiency. Both firm heterogeneity and persistent inefficiency components are allowed to be correlated with some exogenous and endogenous covariates in the model. Our model solves the endogeneity problem and it also introduces determinants of both persistent and transient inefficiency. Since the transient component is autoregressive, the likelihood function is not available in closed form. To address this problem we use the Maximum Simulated Likelihood and (Simulated or Bayes) Generalized Method of Moments method to estimate the parameters and several other quantities of interest, including transient and persistent inefficiency. Since the model is dynamic and accommodates determinants of inefficiency, it is useful to production managers who wish to identify how much of their present inefficiency is affected by past inefficiency, as well as how and in what ways efficiency can be improved. We use Norwegian electricity distribution data to showcase an application of our model.

AB - In this paper, we introduce a new model to estimate efficiency by generalizing the state-of-the-art panel stochastic frontier model, the salient feature of which is decomposition of inefficiency into a persistent and a transient component. The proposed model introduces an autoregressive process to allow for temporal dependence in transient inefficiency. Both firm heterogeneity and persistent inefficiency components are allowed to be correlated with some exogenous and endogenous covariates in the model. Our model solves the endogeneity problem and it also introduces determinants of both persistent and transient inefficiency. Since the transient component is autoregressive, the likelihood function is not available in closed form. To address this problem we use the Maximum Simulated Likelihood and (Simulated or Bayes) Generalized Method of Moments method to estimate the parameters and several other quantities of interest, including transient and persistent inefficiency. Since the model is dynamic and accommodates determinants of inefficiency, it is useful to production managers who wish to identify how much of their present inefficiency is affected by past inefficiency, as well as how and in what ways efficiency can be improved. We use Norwegian electricity distribution data to showcase an application of our model.

KW - General Energy

KW - Economics and Econometrics

U2 - 10.5547/01956574.44.2.mtsi

DO - 10.5547/01956574.44.2.mtsi

M3 - Journal article

VL - 44

SP - 181

EP - 203

JO - Energy Journal

JF - Energy Journal

SN - 0195-6574

IS - 2

ER -