Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities
AbstractThis article examines the robustness of efficiency score rankings across four distributional assumptions for trans-log stochastic production-frontier models, using data from 1221 Japanese water utilities (for 2004 and 2005). One-sided error terms considered include the half-normal, truncated normal, exponential and gamma distributions. Results are compared for homoscedastic and doubly heteroscedastic models, where we also introduce a doubly heteroscedastic variable mean model, and examine the sensitivity of the nested models to a stronger heteroscedasticity correction for the one-sided error component. The results support three conclusions regarding the sensitivity of efficiency rankings to distributional assumptions. When four standard distributional assumptions are applied to a homoscedastic stochastic frontier model, the efficiency rankings are quite consistent. When those assumptions are applied to a doubly heteroscedastic stochastic frontier model, the efficiency rankings are consistent when proper and sufficient arguments for the variance functions are included in the model. When a more general model, like a variable mean model is estimated, efficiency rankings are quite sensitive to heteroscedasticity correction schemes.
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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Economics.
Volume (Year): 45 (2013)
Issue (Month): 17 (June)
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Web page: http://www.tandf.co.uk/journals/routledge/00036846.html
Other versions of this item:
- Yane, Shinji & Berg, Sanford, 2011. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," MPRA Paper 32892, University Library of Munich, Germany.
- L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Wei Siang Wang & Peter Schmidt, 2007.
"On The Distribution of Estimated Technical Efficiency in Stochastic Frontier Models,"
CEPA Working Papers Series
WP022007, School of Economics, University of Queensland, Australia.
- Wang, Wei Siang & Schmidt, Peter, 2009. "On the distribution of estimated technical efficiency in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 148(1), pages 36-45, January.
- Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-11, January.
- Kaddour Hadri & Cherif Guermat & Julie Whittaker, 2003. "Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 255-268, November.
- Wang, Hung-jen & Schmidt, Peter, 2001. "One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels," MPRA Paper 31075, University Library of Munich, Germany, revised Mar 2002.
- Brophy Haney, A. & Pollitt, M.G., 2009.
"Efficiency Analysis of Energy Networks : An International Survey of Regulators,"
Cambridge Working Papers in Economics
0926, Faculty of Economics, University of Cambridge.
- Haney, Aoife Brophy & Pollitt, Michael G., 2009. "Efficiency analysis of energy networks: An international survey of regulators," Energy Policy, Elsevier, vol. 37(12), pages 5814-5830, December.
- Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
- De Witte, Kristof & Marques, Rui C., 2008.
"Capturing the environment, a metafrontier approach to the drinking water sector,"
Open Access publications from Katholieke Universiteit Leuven
urn:hdl:123456789/158171, Katholieke Universiteit Leuven.
- Kristof De Witte & Rui C. Marques, 2008. "Capturing the environment, a metafrontier approach to the drinking water sector," Center for Economic Studies - Discussion papers ces0804, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
- Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006.
"Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics,"
Journal of Productivity Analysis,
Springer, vol. 25(3), pages 201-212, 06.
- Peter Schmidt & Antonio Alvarez & Christine Amsler, 2004. "Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics," Econometric Society 2004 Far Eastern Meetings 520, Econometric Society.
- De Witte, Kristof & Marques, R., 2010. "Designing performance incentives, an international benchmark study in the water sector," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/222051, Katholieke Universiteit Leuven.
- Antonio Estache & Tim Coelli & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," ULB Institutional Repository 2013/44106, ULB -- Universite Libre de Bruxelles.
- Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
- Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-63, July.
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