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Luis Orea

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Luis Orea & Inmaculada C. Álvarez, 2020. "How effective has been the Spanish lockdown to battle COVID-19? A spatial analysis of the coronavirus propagation across provinces," Working Papers 2020-03, FEDEA.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Distancing and Lockdown > Effect on Health

Working papers

  1. Orea, Luis & Álvarez, Inmaculada C. & Wall, Alan, 2021. "Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain," Efficiency Series Papers 2021/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    2. Centorrino, Samuele & Parmeter, Christopher F., 2024. "Nonparametric estimation of stochastic frontier models with weak separability," Journal of Econometrics, Elsevier, vol. 238(2).
    3. Luis Orea & Inmaculada C. Álvarez, 2022. "How effective has the Spanish lockdown been to battle COVID‐19? A spatial analysis of the coronavirus propagation across provinces," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 154-173, January.
    4. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2024. "Correction: Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 62(1), pages 119-119, August.
    5. Richard Gearhart & Lyudmyla Sonchak-Ardan & Nyakundi Michieka, 2022. "The efficiency of COVID cases to COVID policies: a robust conditional approach," Empirical Economics, Springer, vol. 63(6), pages 2903-2948, December.

  2. Argüelles, Pablo & Orea, Luis, 2020. "Managing Power Supply Interruptions: A Bottom-Up Spatial (Frontier) Model with an Application to a Spanish Electricity Network," Working Papers 7-2020, Copenhagen Business School, Department of Economics.

    Cited by:

    1. Subal C. Kumbhakarⓡ & Emir Malikovⓡ & Christopher F. Parmeterⓡ, 2021. "Applications of efficiency and productivity analysis: editors’ introduction," Empirical Economics, Springer, vol. 60(6), pages 2657-2663, June.

  3. Luis Orea & Inmaculada C. Álvarez, 2020. "How effective has been the Spanish lockdown to battle COVID-19? A spatial analysis of the coronavirus propagation across provinces," Working Papers 2020-03, FEDEA.

    Cited by:

    1. Luigi Maria Solivetti, 2020. "Determinants of the coronavirus epidemic generation in Italy," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 74(3-4), pages 5-16, July-Dece.
    2. Jeffrey E. Harris, 2020. "Geospatial Analysis of the September 2020 Coronavirus Outbreak at the University of Wisconsin – Madison: Did a Cluster of Local Bars Play a Critical Role?," NBER Working Papers 28132, National Bureau of Economic Research, Inc.
    3. Daniel H. Cooper & Vaishali Garga & María Jose Luengo-Prado & Jenny Tang, 2020. "The Roles of Mobility and Masks in the Spread of COVID-19," Current Policy Perspectives 89224, Federal Reserve Bank of Boston.
    4. Rafael Robina-Ramírez & Jose-Amelio Medina-Merodio & Libertad Moreno-Luna & Héctor V. Jiménez-Naranjo & Marcelo Sánchez-Oro, 2021. "Safety and Health Measures for COVID-19 Transition Period in the Hotel Industry in Spain," IJERPH, MDPI, vol. 18(2), pages 1-19, January.
    5. Mehmet Ronael & Tüzin Baycan, 2022. "Place-based factors affecting COVID-19 incidences in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1053-1086, October.
    6. Jeffrey E. Harris, 2021. "Los Angeles County SARS-CoV-2 Epidemic: Critical Role of Multi-generational Intra-household Transmission," Journal of Bioeconomics, Springer, vol. 23(1), pages 55-83, April.
    7. Jerzy Bański & Marcin Mazur & Wioletta Kamińska, 2021. "Socioeconomic Conditioning of the Development of the COVID-19 Pandemic and Its Global Spatial Differentiation," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    8. Luis Orea & Inmaculada C. Álvarez, 2022. "How effective has the Spanish lockdown been to battle COVID‐19? A spatial analysis of the coronavirus propagation across provinces," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 154-173, January.
    9. Michael Berlemann & Erik Haustein, 2020. "Right and Yet Wrong: A Spatio-Temporal Evaluation of Germany's Covid-19 Containment Policy," CESifo Working Paper Series 8446, CESifo.
    10. Nikos Kapitsinis, 2020. "The underlying factors of the COVID‐19 spatially uneven spread. Initial evidence from regions in nine EU countries," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1027-1045, December.
    11. Orea, Luis & Álvarez, Inmaculada C. & Wall, Alan, 2021. "Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain," Efficiency Series Papers 2021/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Peng Cui & Ping Zou & Xuan Ju & Yi Liu & Yalu Su, 2022. "Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    13. Peng Cui & Zhiyu Dong & Xin Yao & Yifei Cao & Yifan Sun & Lan Feng, 2022. "What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    14. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    15. Arif Masrur & Manzhu Yu & Wei Luo & Ashraf Dewan, 2020. "Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh," IJERPH, MDPI, vol. 17(16), pages 1-22, August.

  4. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Orea, Luis & Álvarez, Inmaculada C., 2020. "How effective has been the Spanish lockdown to battle COVID-19? A spatial analysis of the coronavirus propagation across provinces," Efficiency Series Papers 2020/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Na Liao & Xinchen Gu & Yuejian Wang & Hailiang Xu & Zili Fan, 2021. "Analysis of Ecological and Economic Benefits of Rural Land Integration in the Manas River Basin Oasis," Land, MDPI, vol. 10(5), pages 1-14, April.
    3. Linzhong Luo & Chaoxian Yang & Rongrong Chen & Weiping Liu, 2023. "Comprehensive Land Consolidation Zoning Based on Minimum Cumulative Resistance Model—A Case Study of Chongqing, Southwest China," Land, MDPI, vol. 12(10), pages 1-23, October.

  5. Álvarez, Inmaculada C. & Orea, Luis & Perez-Mendez, Jose A., 2019. "Rural and agricultural development by land consolidation: a spatial production analysis of Asturias´ parishes," Efficiency Series Papers 2019/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Na Liao & Xinchen Gu & Yuejian Wang & Hailiang Xu & Zili Fan, 2021. "Analysis of Ecological and Economic Benefits of Rural Land Integration in the Manas River Basin Oasis," Land, MDPI, vol. 10(5), pages 1-14, April.
    2. Linzhong Luo & Chaoxian Yang & Rongrong Chen & Weiping Liu, 2023. "Comprehensive Land Consolidation Zoning Based on Minimum Cumulative Resistance Model—A Case Study of Chongqing, Southwest China," Land, MDPI, vol. 12(10), pages 1-23, October.

  6. Orea, Luis & Zofío, José L., 2017. "A primer on the theory and practice of efficiency and productivity analysis," Efficiency Series Papers 2017/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    2. Ana Rodríguez-Álvarez & Luis Orea & Tooraj Jamasb, 2016. "Fuel Poverty and Well-Being: A Consumer Theory and Stochastic Frontier Approach," Working Papers EPRG 1628, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    3. Bo Peng & Rasa Melnikiene & Tomas Balezentis & Giulio Paolo Agnusdei, 2024. "Structural dynamics and sustainability in the agricultural sector: the case of the European Union," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 12(1), pages 1-27, December.
    4. J. Jorge-Moreno & Laura Gil Delgado & Víctor García Fernández & Silvia García Ventura & Laura Granado Méndez & Ainhoa Samaniego Moreno, 2024. "Efficiency analysis of penitentiary centers in Spain using radial and non-radial DEA and its determinants factors 2015–2020," European Journal of Law and Economics, Springer, vol. 58(1), pages 47-69, August.
    5. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    6. Ferreira, Diogo Cunha & Marques, Rui Cunha & Pedro, Maria Isabel, 2018. "Explanatory variables driving the technical efficiency of European seaports: An order-α approach dealing with imperfect knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 41-62.

  7. Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    2. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    3. Anthony J. Glass & Karligash Kenjegalieva, 2023. "Dynamic returns to scale and geography in U.S. banking," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 53-85, February.
    4. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    5. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    6. Dibyendu Maiti & Chiranjib Neogi, 2024. "Endogeneity-corrected stochastic frontier with market imperfections," Empirical Economics, Springer, vol. 67(3), pages 1149-1183, September.
    7. Jaepil Han & Robin C. Sickles, 2024. "Correction to: Estimation of industry-level productivity with cross-sectional dependence by using spatial analysis," Journal of Productivity Analysis, Springer, vol. 62(3), pages 395-395, December.
    8. Parmeter, Christopher F. & Simar, Léopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2024. "Inference in the nonparametric stochastic frontier model," LIDAM Reprints ISBA 2024013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    9. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    11. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    12. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    13. Adjin, K. Christophe & Henning, Christian H. C. A., 2020. "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture," Working Papers of Agricultural Policy WP2020-09, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    14. Zheng Wei & S. T. Boris Choy & Tonghui Wang & Xiaonan Zhu, 2025. "Bayesian stochastic frontier models under the skew-normal half-normal settings," Journal of Productivity Analysis, Springer, vol. 64(1), pages 81-91, August.
    15. Tommy Lundgren & Mattias Vesterberg, 2024. "Efficiency in electricity distribution in Sweden and the effects of small-scale generation, electric vehicles and dynamic tariffs," Journal of Productivity Analysis, Springer, vol. 62(2), pages 121-137, October.
    16. Yulu Wang & Subal C. Kumbhakar, 2025. "COVID-19 under-reporting: spillovers and stringent containment strategies of global cases," Journal of Productivity Analysis, Springer, vol. 63(1), pages 87-106, February.
    17. Hung-pin Lai & Kien C. Tran, 2022. "Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 58(1), pages 1-13, August.
    18. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP072021, School of Economics, University of Queensland, Australia.
    19. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    20. Orea, Luis & Álvarez, Inmaculada C. & Wall, Alan, 2021. "Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain," Efficiency Series Papers 2021/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    21. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    22. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2024. "Correction: Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 62(1), pages 119-119, August.
    23. Han, Jaepil & Sickles, Robin C., 2019. "Estimation of Industry-level Productivity with Cross-sectional Dependence by Using Spatial Analysis," Working Papers 19-002, Rice University, Department of Economics.
    24. Kerui Du & Luis Orea & Inmaculada C. Alvarez, 2023. "Fitting spatial stochastic frontier models in Stata," Efficiency Series Papers 2023/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    25. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    26. Silvia Emili & Federica Galli, 2025. "Modelling Spatio-Temporal Dynamics in Multi-Output Stochastic Frontiers for the European Agribusiness Industry," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 30(2), pages 540-575, June.
    27. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    28. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.

  8. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Alejandro Puerta & Andr'es Ram'irez-Hassan, 2020. "Inferring hidden potentials in analytical regions: uncovering crime suspect communities in Medell\'in," Papers 2009.05360, arXiv.org.
    2. Argüelles, Pablo & Orea, Luis, 2020. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Efficiency Series Papers 2020/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Anthony J. Glass & Karligash Kenjegalieva, 2023. "Dynamic returns to scale and geography in U.S. banking," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 53-85, February.
    4. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    5. Jacopo Canello & Francesco Vidoli, 2020. "Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 653-676, September.
    6. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    7. Elisa Fusco & Giuseppe Arbia & Francesco Vidoli & Vincenzo Nardelli, 2024. "On Spatio-Temporal Stochastic Frontier Models," Econometrics Working Papers Archive 2024_09, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    8. Matěj Bělín & Ondrej Buchel, 2024. "Direct and indirect effects of regional economic stimuli," Empirical Economics, Springer, vol. 66(4), pages 1661-1681, April.
    9. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Kien C. Tran & Mike G. Tsionas, 2023. "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-28, December.
    11. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
    12. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    13. Orea, Luis & José A. Pérez-Méndez & Álvarez, Inmaculada C., 2021. "Does land consolidation promote livestock production and combat rural depopulation? A multi-cohort multi-treatment Difference-in-Difference analysis of parishes in northern Spain," Efficiency Series Papers 2021/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    15. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    16. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    17. Álvarez, Inmaculada C. & Orea, Luis & Perez-Mendez, Jose A., 2019. "Rural and agricultural development by land consolidation: a spatial production analysis of Asturias´ parishes," Efficiency Series Papers 2019/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    18. Álvarez, Inmaculada C. & Gude, Alberto & Orea, Luis, 2019. "Effects of inter-industry and spatial spillovers on regional productivity: Evidence from Spanish panel data," Efficiency Series Papers 2019/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Kerui Du & Luis Orea & Inmaculada C. Alvarez, 2023. "Fitting spatial stochastic frontier models in Stata," Efficiency Series Papers 2023/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    20. Luis Orea & K Hervé Dakpo, 2025. "Latent class models with persistence in regime changes: a distributed lag analysis [Modèles de classes latentes avec persistance dans les changements de régime : une analyse des retards distribués]," Post-Print hal-05322436, HAL.
    21. Puerta-Cuartas, Alejandro & Ramírez-Hassan, Andrés, 2025. "A spatial one-sided error model to identify where unarrested criminals live," Economic Modelling, Elsevier, vol. 142(C).
    22. Silvia Emili & Federica Galli, 2025. "Modelling Spatio-Temporal Dynamics in Multi-Output Stochastic Frontiers for the European Agribusiness Industry," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 30(2), pages 540-575, June.
    23. Qin, Xionghe & Wang, Xueli & Kwan, Mei-Po, 2023. "The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    24. Ming-Yu Deng & Levent Kutlu & Mingxi Wang, 2024. "Skewness-based test diagnosis of technical inefficiency in spatial autoregressive stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 62(1), pages 53-70, August.
    25. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    26. Glass, Anthony J. & Kenjegalieva, Karligash, 2019. "A spatial productivity index in the presence of efficiency spillovers: Evidence for U.S. banks, 1992–2015," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1165-1179.

  9. Ana Rodríguez-Álvarez & Luis Orea & Tooraj Jamasb, 2016. "Fuel Poverty and Well-Being: A Consumer Theory and Stochastic Frontier Approach," Working Papers EPRG 1628, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.

    Cited by:

    1. Rebecca Tunstall, 2023. "An empirical test of measures of housing degrowth: Learning from the limited experience of England and Wales, 1981–2011," Urban Studies, Urban Studies Journal Limited, vol. 60(7), pages 1285-1303, May.
    2. Li, Yunwei & Ning, Xiao & Wang, Zijie & Cheng, Jingyu & Li, Fumeng & Hao, Yu, 2022. "Would energy poverty affect the wellbeing of senior citizens? Evidence from China," Ecological Economics, Elsevier, vol. 200(C).
    3. Rodríguez-Álvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating Energy Poverty in Europe: Front-runners and Laggards," Working Papers 12-2021, Copenhagen Business School, Department of Economics.
    4. Paudel, Jayash, 2021. "Why Are People Energy Poor? Evidence From Ethnic Fractionalization," Energy Economics, Elsevier, vol. 102(C).
    5. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    6. Filippidis, Michail & Tzouvanas, Panagiotis & Chatziantoniou, Ioannis, 2021. "Energy poverty through the lens of the energy-environmental Kuznets curve hypothesis," Energy Economics, Elsevier, vol. 100(C).
    7. Ren, Yi-Shuai & Jiang, Yong & Narayan, Seema & Ma, Chao-Qun & Yang, Xiao-Guang, 2022. "Marketisation and rural energy poverty: Evidence from provincial panel data in China," Energy Economics, Elsevier, vol. 111(C).
    8. Frempong, Raymond Boadi & Orkoh, Emmanuel & Kofinti, Raymond Elikplim, 2021. "Household's use of cooking gas and Children's learning outcomes in rural Ghana," Energy Economics, Elsevier, vol. 103(C).
    9. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    10. Gulay, Emrah & Sen, Mustafa & Akgun, Omer Burak, 2024. "Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models," Energy, Elsevier, vol. 286(C).
    11. Roberto Barrella & José Carlos Romero & Lucía Mariño, 2022. "Proposing a Novel Minimum Income Standard Approach to Energy Poverty Assessment: A European Case Study," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    12. Indre Siksnelyte-Butkiene, 2021. "A Systematic Literature Review of Indices for Energy Poverty Assessment: A Household Perspective," Sustainability, MDPI, vol. 13(19), pages 1-27, September.
    13. Pan, Lei & Biru, Ashenafi & Lettu, Sandra, 2021. "Energy poverty and public health: Global evidence," Energy Economics, Elsevier, vol. 101(C).
    14. Boqiang Lin & Michael Adu Okyere, 2020. "Multidimensional Energy Poverty and Mental Health: Micro-Level Evidence from Ghana," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    15. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    16. Kocak, Emrah & Ulug, Eyup Emre & Oralhan, Burcu, 2023. "The impact of electricity from renewable and non-renewable sources on energy poverty and greenhouse gas emissions (GHGs): Empirical evidence and policy implications," Energy, Elsevier, vol. 272(C).
    17. Chaudhry, Sajid M. & Shafiullah, Muhammad, 2021. "Does culture affect energy poverty? Evidence from a cross-country analysis," Energy Economics, Elsevier, vol. 102(C).
    18. Pengyu Ren & Xiaoyi Liu & Fanghua Li & Dungang Zang, 2022. "Clean Household Energy Consumption and Residents’ Well-Being: Empirical Analysis and Mechanism Test," IJERPH, MDPI, vol. 19(21), pages 1-16, October.
    19. Meltem Ucal & Simge Günay, 2022. "Household Happiness and Fuel Poverty: a Cross-Sectional Analysis on Turkey," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 391-420, February.
    20. Clémence Alasseur & Corinne Chaton & Emma Hubert, 2022. "Optimal contracts under adverse selection for staple goods such as energy: Effectiveness of in-kind insurance," Post-Print halshs-03983355, HAL.
    21. Nguyen, Canh Phuc & Su, Thanh Dinh, 2021. "Alleviating energy poverty for forest conservation: It seems to work, but what are we missing?," Land Use Policy, Elsevier, vol. 109(C).
    22. Das, Narasingha & Gangopadhyay, Partha & Alghamdi, Thamer & Sarwar, Suleman & Haseeb, Mohammad & Barut, Abdulkadir & Dey, Labani, 2023. "Understanding the role of efficiency in the electricity generation process for promoting human development in India: Findings from the novel multiple threshold nonlinear ARDL modelling," Utilities Policy, Elsevier, vol. 82(C).
    23. Khalid, Usman & Shafiullah, Muhammad & Chaudhry, Sajid M., 2024. "Does conflict aggravate energy poverty?," Energy Policy, Elsevier, vol. 194(C).
    24. Apergis, Nicholas & Polemis, Michael & Soursou, Simeoni-Eleni, 2022. "Energy poverty and education: Fresh evidence from a panel of developing countries," Energy Economics, Elsevier, vol. 106(C).
    25. Palma, Pedro & Barrella, Roberto & Gouveia, João Pedro & Romero, José Carlos, 2024. "Comparative analysis of energy poverty definition and measurement in Portugal and Spain," Utilities Policy, Elsevier, vol. 90(C).
    26. Zhu, Yuhan & Zheng, Yan & Ren, Zhiyuan, 2024. "Household welfare loss from energy price crisis: Evidence from China," Energy Economics, Elsevier, vol. 138(C).
    27. Kristian Fabbri, 2024. "Energy Poverty and Poor Buildings: A Brief Literature Review to Promote New Topics for Future Studies," Sustainability, MDPI, vol. 16(22), pages 1-16, November.
    28. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    29. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    30. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    31. Igawa, Moegi & Piao, Xiangdan & Managi, Shunsuke, 2022. "The impact of cooling energy needs on subjective well-being: Evidence from Japan," Ecological Economics, Elsevier, vol. 198(C).
    32. Elena Druică & Zizi Goschin & Rodica Ianole-Călin, 2019. "Energy Poverty and Life Satisfaction: Structural Mechanisms and Their Implications," Energies, MDPI, vol. 12(20), pages 1-20, October.
    33. Mauro Lafratta & Matthew Leach & Rex B. Thorpe & Mark Willcocks & Eve Germain & Sabeha K. Ouki & Achame Shana & Jacquetta Lee, 2021. "Economic and Carbon Costs of Electricity Balancing Services: The Need for Secure Flexible Low-Carbon Generation," Energies, MDPI, vol. 14(16), pages 1-21, August.
    34. Martey, Edward, 2022. "Empirical analysis of crop diversification and energy poverty in Ghana," Energy Policy, Elsevier, vol. 165(C).
    35. Llorca, Manuel & Rodriguez-Alvarez, Ana, 2025. "Is Spain’s Energy Voucher Lighting the Way for the Poor? A Microeconomic Evaluation of the Bono Social Eléctrico," Working Papers 4-2025, Copenhagen Business School, Department of Economics.
    36. Han Yang & Xuefeng Li & Jubo Yan, 2025. "The impact of energy poverty on subjective well-being: evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
    37. Paudel, Jayash, 2021. "Beyond the Blaze: The Impact of Forest Fires on Energy Poverty," Energy Economics, Elsevier, vol. 101(C).
    38. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    39. Harker Steele, Amanda J. & Bergstrom, John C., "undated". "Does Energy Efficiency Effect Energy Security? An Analysis of Energy Efficient Upgrades and Household Energy Security," 2018 Annual Meeting, August 5-7, Washington, D.C. 274186, Agricultural and Applied Economics Association.
    40. Jean Damascene MVUNABANDI & Lawrence GADZIKWA, 2024. "A Cognitive Analysis Of Consumer Literacy Training And Financial Capability Improvement Among South Africans: A Cross-Sectional Study," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 9(1), pages 44-62, March.
    41. Cadaval, María & Regueiro-Ferreira, Rosa Ma & Calvo, Santiago, 2022. "The role of the public sector in the mitigation of fuel poverty in Spain (2008–2019): Modeling the contribution of the BonoSocial deElectricidad," Energy, Elsevier, vol. 258(C).
    42. Hailemariam, Abebe & Sakutukwa, Tutsirai & Yew, Siew Ling, 2021. "The impact of energy poverty on physical violence," Energy Economics, Elsevier, vol. 100(C).
    43. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    44. Zhang, Quanda & Appau, Samuelson & Kodom, Peter Lord, 2021. "Energy poverty, children's wellbeing and the mediating role of academic performance: Evidence from China," Energy Economics, Elsevier, vol. 97(C).
    45. Banerjee, Rajabrata & Mishra, Vinod & Maruta, Admasu Asfaw, 2021. "Energy poverty, health and education outcomes: Evidence from the developing world," Energy Economics, Elsevier, vol. 101(C).
    46. Partha Gangopadhyay & Narasingha Das, 2022. "Can Energy Efficiency Promote Human Development in a Developing Economy?," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    47. Koomson, Isaac & Danquah, Michael, 2021. "Financial inclusion and energy poverty: Empirical evidence from Ghana," Energy Economics, Elsevier, vol. 94(C).
    48. Mamidi, Varsha & Marisetty, Vijaya B. & Thomas, Ewan Nikhil, 2021. "Clean energy transition and intertemporal socio-economic development: Evidence from an emerging market," Energy Economics, Elsevier, vol. 101(C).

  10. Rodríguez-Álvarez, A. & Orea, L. & Jamasb, T., 2016. "Fuel poverty and well-being: a consmer theory and stochastic fronteir approach," Cambridge Working Papers in Economics 1668, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Harker Steele, Amanda J. & Bergstrom, John C., "undated". "Does Energy Efficiency Effect Energy Security? An Analysis of Energy Efficient Upgrades and Household Energy Security," 2018 Annual Meeting, August 5-7, Washington, D.C. 274186, Agricultural and Applied Economics Association.

  11. Orea, Luis & Jamasb, Tooraj, 2014. "Identifying efficient regulated firms with unobserved technological heterogeneity: A nested latent class approach to Norwegian electricity distribution networks," Efficiency Series Papers 2014/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    2. Núñez, F. & Arcos-Vargas, A. & Villa, G., 2020. "Efficiency benchmarking and remuneration of Spanish electricity distribution companies," Utilities Policy, Elsevier, vol. 67(C).

  12. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2014. "Measuring energy efficiency and rebound effects using a stochastic demand frontier approach: the US residential energy demand," Efficiency Series Papers 2014/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    2. Antonio Carvalho, 2016. "Energy Efficiency in Transition Economies: A Stochastic Frontier Approach," CEERP Working Paper Series 004, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    3. António Carvalho, 2018. "Energy efficiency in transition economies : A stochastic frontier approach," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 553-578, July.

  13. Orea, Luis & Pérez, Jose A. & Roibás, David, 2013. "Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity: A latent class model approach," Efficiency Series Papers 2013/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Bahta, S. & Temoso, O. & Mekonnen, D. & Malope, P. & Staal, S., 2018. "Technical efficiency of beef production in agricultural districts of Botswana: A Latent Class Stochastic Frontier Model Approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277207, International Association of Agricultural Economists.
    2. Chaozheng Zhang & Danling Chen, 2021. "Fragmentation Reduction through Farmer-Led Land Transfer and Consolidation? Experiences of Rice Farmers in Wuhan Metropolitan Area, China," Agriculture, MDPI, vol. 11(7), pages 1-14, July.
    3. Tracy Bradfield & Robert Butler & Emma Dillon & Thia Hennessy & Paul Kilgarriff, 2021. "The Effect of Land Fragmentation on the Technical Inefficiency of Dairy Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 486-499, June.
    4. Jing Qian & Yunfei Peng & Cheng Luo & Chao Wu & Qingyun Du, 2015. "Urban Land Expansion and Sustainable Land Use Policy in Shenzhen: A Case Study of China’s Rapid Urbanization," Sustainability, MDPI, vol. 8(1), pages 1-16, December.
    5. K Hervé Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms [Modélisation des classes latentes pour une évaluation robuste de la productivité : App," Post-Print hal-03280138, HAL.
    6. Yujing Zhao & Hong Leng & Pingjun Sun & Qing Yuan, 2019. "Application and Validation of a Municipal Administrative Area Spatial Zoning Model in Village-Town System Planning," Sustainability, MDPI, vol. 11(7), pages 1-25, March.

  14. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Ajayi, V. & Anaya, K. & Pollitt, M .G., 2021. "Incentive Regulation, Productivity Growth and Environmental Effects: The Case of Electricity Networks in Great Britain," Cambridge Working Papers in Economics 2181, Faculty of Economics, University of Cambridge.
    2. Xie, Bai-Chen & Zhang, Zhen-Jiang & Anaya, Karim L., 2021. "Has the unbundling reform improved the service efficiency of China's power grid firms?," Energy Economics, Elsevier, vol. 95(C).
    3. Kamil Makieia & Jacek Osiewalski, 2018. "Cost Efficiency Analysis of Electricity Distribution Sector under Model Uncertainty," The Energy Journal, , vol. 39(4), pages 31-56, July.
    4. Nie, S. & Li, Y.P. & Liu, J. & Huang, Charley Z., 2017. "Risk management of energy system for identifying optimal power mix with financial-cost minimization and environmental-impact mitigation under uncertainty," Energy Economics, Elsevier, vol. 61(C), pages 313-329.
    5. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    6. Badunenko, Oleg & Cullmann, Astrid & Nieswand, Maria, 2025. "Integrating renewable energy resources in electricity distribution systems—A firm-level efficiency analysis for Sweden controlling for weather conditions," Energy Economics, Elsevier, vol. 142(C).
    7. Tong, Q. & Swallow, B. & Zhang, L. & Zhang, J., 2018. "Risk Attitude, Technical Efficiency and Adoption: An Integrated Approach to Climate-Smart Rice Production in the Jianghan Plain, China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277311, International Association of Agricultural Economists.
    8. Karim L. Anaya & Michael G. Pollitt, 2014. "Does Weather Have an Impact on Electricity Distribution Efficiency? Evidence from South America," Working Papers EPRG 1404, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    9. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2018. "Institutions and Performance of Regulated Firms: Evidence from Electric Utilities in the Indian States," Efficiency Series Papers 2018/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    11. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    12. Costa, Marcelo Azevedo & da Silva, Aline Veronese & Mineti, Leandro Brioschi, 2025. "Geographical Bayesian second stage analysis for operating efficiency of Brazilian electricity distribution system operators," Energy Economics, Elsevier, vol. 144(C).
    13. Adwoa Asantewaa & Tooraj Jamasb & Manuel Llorca, 2022. "Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach," Energies, MDPI, vol. 15(6), pages 1-29, March.
    14. Soroush, Golnoush & Cambini, Carlo & Jamasb, Tooraj & Llorca, Manuel, 2019. "Network Utilities Performance and Institutional Quality: Evidence from the Italian Electricity Sector," Efficiency Series Papers 2019/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    15. Piotr F Borowski, 2019. "Adaptation strategy on regulated markets of power companies in Poland," Energy & Environment, , vol. 30(1), pages 3-26, February.
    16. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    17. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    18. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    19. Llorca, Manuel & Orea, Luis & Pollit, Michael G., 2013. "Using in the latent class approach as a supervised method to cluster firms in DEA: An application to the US electricity transmission industry," Efficiency Series Papers 2013/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    20. Haney, Aoife Brophy & Pollitt, Michael G., 2013. "International benchmarking of electricity transmission by regulators: A contrast between theory and practice?," Energy Policy, Elsevier, vol. 62(C), pages 267-281.
    21. da Silva, Aline Veronese & Costa, Marcelo Azevedo & Ahn, Heinz & Lopes, Ana Lúcia Miranda, 2019. "Performance benchmarking models for electricity transmission regulation: Caveats concerning the Brazilian case," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    22. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    23. Shamsuzzoha & Makoto Tanaka, 2021. "The role of human capital on the performance of manufacturing firms in Bangladesh," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 21-33, January.
    24. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.
    25. Yi, Tianhao & Li, Lisha & Li, Zhiyong & Zhang, Jiaxuan, 2025. "Evaluating electricity transmission and distribution efficiency using Data Envelopment Analysis Forest with feature importance," Energy, Elsevier, vol. 330(C).
    26. Wenche Tobiasson & Manuel Llorca & Tooraj Jamasb, 2021. "Performance Effects of Network Structure and Ownership: The Norwegian Electricity Distribution Sector," Energies, MDPI, vol. 14(21), pages 1-15, November.
    27. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).

  15. Orea, Luis & Growitsch, Christian & Jamasb, Tooraj, 2012. "Using Supervised Environmental Composites in Production and Efficiency Analyses: An Application to Norwegian Electricity Networks," Efficiency Series Papers 2012/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    2. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    3. Orea, Luis & Jamasb, Tooraj, 2014. "Identifying efficient regulated firms with unobserved technological heterogeneity: A nested latent class approach to Norwegian electricity distribution networks," Efficiency Series Papers 2014/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

  16. Orea, L. & Steinbuks, J., 2012. "Estimating market power in homogenous product markets using a composed error model: application to the California electricity market," Cambridge Working Papers in Economics 1220, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    2. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    3. Wan, Yi & Kober, Tom & Densing, Martin, 2022. "Nonlinear inverse demand curves in electricity market modeling," Energy Economics, Elsevier, vol. 107(C).
    4. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    5. Robert Germeshausen & Timo Panke & Heike Wetzel, 2020. "Firm characteristics and the ability to exercise market power: empirical evidence from the iron ore market," Empirical Economics, Springer, vol. 58(5), pages 2223-2247, May.
    6. Devin Garcia & Levent Kutlu & Robin C. Sickles, 2022. "Market Structures in Production Economics," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 13, pages 537-574, Springer.
    7. Dibyendu Maiti & Chiranjib Neogi, 2024. "Endogeneity-corrected stochastic frontier with market imperfections," Empirical Economics, Springer, vol. 67(3), pages 1149-1183, September.
    8. Yuri Matsumura & Suguru Otani, 2023. "Challenges in Statistically Rejecting the Perfect Competition Hypothesis Using Imperfect Competition Data," Papers 2310.04576, arXiv.org, revised Aug 2024.
    9. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    10. Mydland, Ørjan & Størdal, Ståle & Kumbhakar, Subal C. & Lien, Gudbrand, 2022. "Modeling markups and its determinants: The case of Norwegian industries and regions," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 252-262.
    11. Chiara Lo Prete & Benjamin F. Hobbs, 2015. "Market Power in Power Markets: An Analysis of Residual Demand Curves in California’s Day-ahead Energy Market (1998-2000)," The Energy Journal, , vol. 36(2), pages 191-218, April.
    12. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    13. Mustafa U. Karakaplan & Levent Kutlu, 2019. "Estimating market power using a composed error model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 489-510, September.
    14. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    15. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    16. Ruiz-Moreno, Felipe & Mas-Ruiz, Francisco J. & Sancho-Esper, Franco M., 2021. "Strategic groups and product differentiation: Evidence from the Spanish airline market deregulation," Research in Transportation Economics, Elsevier, vol. 90(C).
    17. Chiara Lo Prete and Benjamin F. Hobbs, 2015. "Market power in power markets: an analysis of residual demand curves in Californias day-ahead energy market (1998-2000)," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    18. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  17. Meier, H. & Jamasb, T. & Orea, L., 2012. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991 - 2007," Cambridge Working Papers in Economics 1239, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," Working Papers hal-02475511, HAL.
    2. Rodríguez-Álvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating Energy Poverty in Europe: Front-runners and Laggards," Working Papers 12-2021, Copenhagen Business School, Department of Economics.
    3. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    4. Syed Abul Hasan & Pallab Mozumder, 2017. "Income and energy use in Bangladesh: A household level analysis," Crawford School Research Papers 1701, Crawford School of Public Policy, The Australian National University.
    5. Desiderio Romero-Jordán & Pablo Del Río & Cristina Peñasco, 2015. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Working Papers 1503, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    6. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
    7. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
    8. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    9. Frédéric Cherbonnier & Christian Gollier, 2022. "Risk-adjusted Social Discount Rates," Post-Print hal-04012977, HAL.
    10. Rodríguez-Álvarez, A. & Orea, L. & Jamasb, T., 2016. "Fuel poverty and well-being: a consmer theory and stochastic fronteir approach," Cambridge Working Papers in Economics 1668, Faculty of Economics, University of Cambridge.
    11. Gautam, Tej K. & Paudel, Krishna P., 2018. "The demand for natural gas in the Northeastern United States," Energy, Elsevier, vol. 158(C), pages 890-898.
    12. Ana Rodríguez-Álvarez & Luis Orea & Tooraj Jamasb, 2016. "Fuel Poverty and Well-Being: A Consumer Theory and Stochastic Frontier Approach," Working Papers EPRG 1628, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    13. Baffes,John & Kabundi,Alain Ntumba & Nagle,Peter Stephen Oliver & Ohnsorge,Franziska Lieselotte, 2018. "The role of major emerging markets in global commodity demand," Policy Research Working Paper Series 8495, The World Bank.
    14. Muhammad Shafiullah & Zhilun Jiao & Muhammad Shahbaz & Kangyin Dong, 2023. "Examining energy poverty in Chinese households: An Engel curve approach," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 149-184, March.
    15. Salomé Bakaloglou & Dorothée Charlier, 2018. "Energy Consumption in the French Residential Sector: How Much Do Individual Preferences Matter?," Working Papers 1803, Chaire Economie du climat.
    16. Clémence Alasseur & Corinne Chaton & Emma Hubert, 2022. "Optimal contracts under adverse selection for staple goods such as energy: Effectiveness of in-kind insurance," Post-Print halshs-03983355, HAL.
    17. Cl'emence Alasseur & Corinne Chaton & Emma Hubert, 2020. "Optimal contracts under adverse selection for staple goods: efficiency of in-kind insurance," Papers 2001.02099, arXiv.org, revised Dec 2020.
    18. Frederic Cherbonnier & Christian Gollier, 2022. "Risk-adjusted Social Discount Rates," The Energy Journal, , vol. 43(4), pages 45-68, May.
    19. Mats Kröger & Maximilian Longmuir & Karsten Neuhoff & Franziska Schütze, 2022. "The Costs of Natural Gas Dependency: Price Shocks, Inequality, and Public Policy," Discussion Papers of DIW Berlin 2010, DIW Berlin, German Institute for Economic Research.
    20. Tarek Atalla, Simona Bigerna, Carlo Andrea Bollino, and Rolando Fuentes, 2017. "Analyzing the Effects of Renewable Energy and Climate Conditions on Consumer Welfare," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    21. Schulte, Isabella & Heindl, Peter, 2016. "Price and income elasticities of residential energy demand in Germany," ZEW Discussion Papers 16-052, ZEW - Leibniz Centre for European Economic Research.
    22. Yitian Wang & Russell Smyth, 2025. "The Effect of Extreme Wildfire Exposure on Energy Poverty: Evidence from Australia's Black Saturday Bushfires," Monash Economics Working Papers 2025-12, Monash University, Department of Economics.
    23. Noriza Mohd Saad & Erna Farina Mohamed & Mohamad Taufik Mohd Arshad & Ahmad Lutfi Mohayiddin, 2023. "Electricity Tariff Changes and Consumer Sentiment on Household Consumption Expenditure in Malaysia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 175-191, March.
    24. Curtis, John & Pentecost, Anne, 2014. "Changes in Household Fuel Expenditure Associated with Improvements in Building Energy Efficiency," Papers WP478, Economic and Social Research Institute (ESRI).
    25. Antunes, Micaela & Teotónio, Carla & Quintal, Carlota & Martins, Rita, 2023. "Energy affordability across and within 26 European countries: Insights into the prevalence and depth of problems using microeconomic data," Energy Economics, Elsevier, vol. 127(PA).
    26. Hiroki Onuma & Shigeru Matsumoto & Toshi H. Arimura, 2018. "How much household electricity consumption is actually saved by replacement with Light-Emitting Diodes (LEDs)?," RIEEM Discussion Paper Series 1803, Research Institute for Environmental Economics and Management, Waseda University.
    27. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino & Rolando Fuentes, 2017. "Analyzing the effects of renewable energy and climate conditions on consumer welfare," The Energy Journal, , vol. 38(1_suppl), pages 115-136, June.
    28. Sun, Xinlu & Mi, Zhifu & Zhang, Jin & Li, Jinkai, 2024. "Driving factors of carbon emissions from household energy combustion in China," Energy Policy, Elsevier, vol. 186(C).
    29. Dorband, Ira Irina & Jakob, Michael & Kalkuhl, Matthias & Steckel, Jan Christoph, 2019. "Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis," World Development, Elsevier, vol. 115(C), pages 246-257.
    30. Heindl, Peter & Schüßler, Rudolf, 2019. "A deprivation-based assessment of energy poverty: Conceptual problems and application to Germany," ZEW Discussion Papers 19-036, ZEW - Leibniz Centre for European Economic Research.
    31. Kröger, Mats & Longmuir, Maximilian & Neuhoff, Karsten & Schütze, Franziska, 2023. "The price of natural gas dependency: Price shocks, inequality, and public policy," Energy Policy, Elsevier, vol. 175(C).
    32. Salomé Bakaloglou & Dorothée Charlier, 2019. "Energy Consumption in the French Residential Sector: How Much do Individual Preferences Matter?," The Energy Journal, , vol. 40(3), pages 77-100, May.
    33. Jens Ewald & Thomas Sterner & Eoin Ó Broin & Érika Mata, 2021. "Saving energy in residential buildings: the role of energy pricing," Climatic Change, Springer, vol. 167(1), pages 1-20, July.
    34. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.

  18. Fernanda Gutierrez-Navratil & Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2011. "How do your rivals' releasing dates affect your box office?," ACEI Working Paper Series AWP-04-2011, Association for Cultural Economics International, revised Nov 2011.

    Cited by:

    1. Danielle Brennan & Kyle D. S. Maclean & Mercedes Sanchez, 2025. "Beyond the big screen: secondary channel releases and their impact on the theatrical market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 49(2), pages 257-280, June.
    2. Sara Suarez-Fernandez & Maria Jose Perez-Villadoniga & Juan Prieto-Rodriguez, 2018. "Are We (Un)Consciously Driven by First Impressions? Price Declarations vs. Observed Cinema Demand when VAT Increases," ACEI Working Paper Series AWP-02-2018, Association for Cultural Economics International, revised Jul 2018.
    3. Liza Lee & Ying-Sing Liu, 2024. "The impact of major infectious disease events and government relief packages on the film industry: evidence from Taiwan," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    4. P. Belleflamme & D. Paolini, 2015. "Strategic Promotion and Release Decisions for Cultural Goods," Working Paper CRENoS 201508, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. Fernanda Gutierrez-Navratil & Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2014. "How do your rivals’ releasing dates affect your box office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 71-84, February.
    6. Darlene Chisholm & Víctor Fernández-Blanco & S. Abraham Ravid & W. David Walls, 2015. "Economics of motion pictures: the state of the art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 1-13, February.
    7. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
    8. Georgios Alaveras & Estrella Gomez-Herrera & Bertin Martens, 2018. "Cross-border circulation of films and cultural diversity in the EU," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(4), pages 645-676, November.
    9. Suarez-Fernandez, Sara & Perez-Villadoniga, Maria J. & Prieto-Rodriguez, Juan, 2022. "Price salience in opinion polls and observed behavior: The case of Spanish cinema," Economic Modelling, Elsevier, vol. 111(C).
    10. Fernanda Gutiérrez-Navratil & Víctor Fernández-Blanco & Luis Orea Sánchez & Juan Prieto Rodríguez, 2017. "Do Movie Majors Really Collude? Indirect Evidence from Release Schedules," Hacienda Pública Española / Review of Public Economics, IEF, vol. 221(2), pages 9-31, June.
    11. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    12. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
    13. Paul Belleflamme & Dimitri Paolini, 2019. "Strategic attractiveness and release decisions for cultural goods," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(2), pages 198-224, April.
    14. Denis Y. Orlov & Evgeniy M. Ozhegov, 2016. "Do sequel movies really earn more than non-sequels? Evidence from the US box office," ACEI Working Paper Series AWP-03-2016, Association for Cultural Economics International, revised Apr 2016.

  19. Greene, William & Orea, Luis & Wall, Alan, 2011. "A one-stage random effect counterpart of the fixed-effect vector decomposition model with an application to UK electricity distribution utilities," Efficiency Series Papers 2011/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Orea, Luis & Álvarez, Inmaculada C. & Jamasb, Tooraj, 2016. "A spatial approach to control for unobserved environmental conditions when measuring firms’ technology: an application to Norwegian electricity distribution networks," Efficiency Series Papers 2016/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Luis Orea & Inmaculada C. Alvarez & Tooraj Jamasb, 2018. "A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway," The Energy Journal, , vol. 39(3), pages 93-116, May.
    3. Eder, Andreas & Salhofer, Klaus & Quddoos, Abdul, 2024. "The impact of cereal crop diversification on farm labor productivity under changing climatic conditions," Ecological Economics, Elsevier, vol. 223(C).
    4. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.
    5. Greene, William & Orea, Luis & Wall, Alan, 2010. "Stochastic Frontiers using a Fixed-effect Vector Decomposition Approach with an Application to ICT and Regional Productivity in Spain," Efficiency Series Papers 2010/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Luis Orea & Inmaculada C. Álvarez & Tooraj Jamasb, 2016. "Using a spatial econometric approach to mitigate omitted variables in stochastic frontier models: An application to Norwegian electricity distribution networks," Working Papers EPRG 1630, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Abdul Quddoos & Klaus Salhofer & Ulrich B. Morawetz, 2023. "Utilising farm‐level panel data to estimate climate change impacts and adaptation potentials," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 75-99, February.
    8. Wisuwat Chujan & Nguyen Le Bao Ngoc & Ahmad Shabir Faizi, 2022. "Locus of Control on Financial Behavior and Financial Risk Attitude," Annals of Economics and Finance, Society for AEF, vol. 23(2), pages 289-313, November.

  20. Greene, William & Orea, Luis & Wall, Alan, 2010. "Stochastic Frontiers using a Fixed-effect Vector Decomposition Approach with an Application to ICT and Regional Productivity in Spain," Efficiency Series Papers 2010/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Pérez, María & Orea, Luis, 2011. "Productivity growth and its determinants in the Spanish provinces: Do within-regions differences matter?," Efficiency Series Papers 2011/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Mustafa Arben & Toçi Valentin, 2018. "The Impact of Banking Sector Competition on Banks’ Risk-Taking in Transition Economies of Central and South-Eastern Europe," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 31-42, June.

  21. Jamasb, T. & Orea, L. & Pollitt, M.G., 2010. "Weather Factors and Performance of Network Utilities: A Methodology and Application to Electricity Distribution," Cambridge Working Papers in Economics 1042, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Karim L. Anaya & Michael G. Pollitt, 2014. "Does Weather Have an Impact on Electricity Distribution Efficiency? Evidence from South America," Working Papers EPRG 1404, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.
    3. Greene, William & Orea, Luis & Wall, Alan, 2011. "A one-stage random effect counterpart of the fixed-effect vector decomposition model with an application to UK electricity distribution utilities," Efficiency Series Papers 2011/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    4. Rahmatallah Poudineh & Tooraj Jamasb, 2013. "Investment and Efficiency under Incentive Regulation: The Case of the Norwegian Electricity Distribution Networks," Cambridge Working Papers in Economics 1310, Faculty of Economics, University of Cambridge.
    5. Andaluz-Alcazar, Alvaro, 2012. "Choix d'investissement sous incertitude des gestionnaires des réseaux de distribution (GRD) en Europe à l'horizon 2030," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/10862 edited by Keppler, Jan Horst.

  22. Jamasb, T. & Orea, L. & Pollitt, M.G., 2010. "Estimating Marginal Cost of Quality Improvements: The Case of the UK Electricity Distribution Companies," Cambridge Working Papers in Economics 1052, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Laura-Lucia Richter & Melvyn Weeks, 2016. "Flexible Mixed Logit with Posterior Analysis: Exploring Willingness-to-Pay for Grid Resilience," Cambridge Working Papers in Economics 1631, Faculty of Economics, University of Cambridge.
    2. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    3. Costa-Campi, Maria Teresa & Daví-Arderius, Daniel & Trujillo-Baute, Elisa, 2018. "The economic impact of electricity losses," Energy Economics, Elsevier, vol. 75(C), pages 309-322.
    4. Argüelles, Pablo & Orea, Luis, 2020. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Efficiency Series Papers 2020/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Badunenko, Oleg & Cullmann, Astrid & Nieswand, Maria, 2025. "Integrating renewable energy resources in electricity distribution systems—A firm-level efficiency analysis for Sweden controlling for weather conditions," Energy Economics, Elsevier, vol. 142(C).
    6. Smith, Andrew S.J. & Ojeda Cabral, Manuel, 2022. "Is higher quality always costly? Marginal costs of quality: Theory and application to railway punctuality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 258-273.
    7. Coelli, Tim J. & Gautier, Axel & Perelman, Sergio & Saplacan-Pop, Roxana, 2013. "Estimating the cost of improving quality in electricity distribution: A parametric distance function approach," Energy Policy, Elsevier, vol. 53(C), pages 287-297.
    8. Darius Corbier & Frédéric Gonand & Marie Bessec, 2015. "Impacts of decentralised power generation on distribution networks: a statistical typology of European countries," Working Papers 1509, Chaire Economie du climat.
    9. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    10. Luis Orea & Jevgenijs Steinbuks, 2012. "Estimating Market Power in Homogeneous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Working Papers EPRG 1210, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    11. Ovaere, Marten, 2023. "Cost-efficiency and quality regulation of energy network utilities," Energy Economics, Elsevier, vol. 120(C).
    12. Maziotis, Alexandros & Villegas, Andrés & Molinos-Senante, María & Sala-Garrido, Ramon, 2020. "Impact of external costs of unplanned supply interruptions on water company efficiency: Evidence from Chile," Utilities Policy, Elsevier, vol. 66(C).
    13. Saastamoinen, Antti & Kuosmanen, Timo, 2016. "Quality frontier of electricity distribution: Supply security, best practices, and underground cabling in Finland," Energy Economics, Elsevier, vol. 53(C), pages 281-292.
    14. Zakaria, Muhammad & Noureen, Rabia, 2016. "Benchmarking and regulation of power distribution companies in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1095-1099.
    15. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    16. Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2016. "Renewable energy scenarios for costs reductions in the European Union," Renewable Energy, Elsevier, vol. 96(PA), pages 80-90.
    17. Nepal, Rabindra & Jamasb, Tooraj, 2013. "Security of European electricity systems: Conceptualizing the assessment criteria and core indicators," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 182-196.
    18. Tim Coelli & Axel Gautier & Sergio Perelman & Roxana Saplacan-Pop, 2012. "Estimating the cost of improving quality in electric distribution: a parametruc distance function approach," CREPP Working Papers 1202, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    19. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Assessing the marginal cost of reducing greenhouse gas emissions in the English and Welsh water and sewerage industry: A parametric approach," Utilities Policy, Elsevier, vol. 70(C).
    20. Deng, Na-Qian & Liu, Li-Qiu & Deng, Ying-Zhi, 2018. "Estimating the effects of restructuring on the technical and service-quality efficiency of electricity companies in China," Utilities Policy, Elsevier, vol. 50(C), pages 91-100.
    21. Doumpos, Michalis & Andriosopoulos, Kostas & Galariotis, Emilios & Makridou, Georgia & Zopounidis, Constantin, 2017. "Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics," European Journal of Operational Research, Elsevier, vol. 262(1), pages 347-360.
    22. Tooraj Jamasb & Rabindra Nepal, 2014. "Incentive Regulation and Utility Benchmarking for Electricity Network Security," Cambridge Working Papers in Economics 1434, Faculty of Economics, University of Cambridge.
    23. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.
    24. Mirza, Faisal Mehmood & Mushtaq, Iqra, 2022. "Estimating the marginal cost of improving services quality in electricity distribution utilities of Pakistan," Energy Policy, Elsevier, vol. 167(C).
    25. Moutinho, Victor & Moreira, António C. & Mota, Jorge, 2014. "Do regulatory mechanisms promote competition and mitigate market power? Evidence from Spanish electricity market," Energy Policy, Elsevier, vol. 68(C), pages 403-412.
    26. Abdullah, Fahad Bin & Arsalan Aqeeq, Muhammad & Iqbal, Rizwan & Abdullah, Maria & Memon, Falak Shad, 2024. "Enhancing electricity distribution efficiency in Pakistan: A framework for progress and action," Utilities Policy, Elsevier, vol. 88(C).
    27. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    28. Meade, Richard & Söderberg, Magnus, 2020. "Is welfare higher when utilities are owned by customers instead of investors? Evidence from electricity distribution in New Zealand," Energy Economics, Elsevier, vol. 86(C).
    29. Silvia Angilella & Maria Rosaria Pappalardo, 2022. "Performance assessment of energy companies employing Hierarchy Stochastic Multi-Attribute Acceptability Analysis," Operational Research, Springer, vol. 22(1), pages 299-370, March.
    30. Maziotis, Alexandros & Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria, 2023. "Cost and quality of service performance in the Chilean water industry: A comparison of stochastic approaches," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 211-219.
    31. Rahmatallah Poudineh & Tooraj Jamasb, 2015. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, , vol. 36(4), pages 241-264, October.
    32. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Working Papers EPRG 1403, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    33. Richard Meade & Magnus Soderberg, 2017. "Welfare-Maximising Investors? – Utility Firm Performance with Heterogeneous Quality Preferences and Endogenous Ownership," Working Papers 2017-09, Auckland University of Technology, Department of Economics.
    34. Poudineh, Rahmatallah & Jamasb, Tooraj, 2016. "Determinants of investment under incentive regulation: The case of the Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 53(C), pages 193-202.
    35. Rahmatallah Poudineh & Tooraj Jamasb, 2013. "Investment and Efficiency under Incentive Regulation: The Case of the Norwegian Electricity Distribution Networks," Cambridge Working Papers in Economics 1310, Faculty of Economics, University of Cambridge.
    36. Chen, Hao & Chen, Xi & Niu, Jinye & Xiang, Mengyu & He, Weijun & Küfeoğlu, Sinan, 2021. "Estimating the marginal cost of reducing power outage durations in China: A parametric distance function approach," Energy Policy, Elsevier, vol. 155(C).
    37. Corton, Maria Luisa & Zimmermann, Aneliese & Phillips, Michelle Andrea, 2016. "The low cost of quality improvements in the electricity distribution sector of Brazil," Energy Policy, Elsevier, vol. 97(C), pages 485-493.
    38. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    39. Carlo Cambini & Elena Fumagalli & Laura Rondi, 2016. "Incentives to quality and investment: evidence from electricity distribution in Italy," Journal of Regulatory Economics, Springer, vol. 49(1), pages 1-32, February.
    40. Cambini, Carlo & Croce, Annalisa & Fumagalli, Elena, 2014. "Output-based incentive regulation in electricity distribution: Evidence from Italy," Energy Economics, Elsevier, vol. 45(C), pages 205-216.
    41. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    42. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    43. Maria Molinos-Senante & Alexandros Maziotis, 2021. "The Cost of Reducing Municipal Unsorted Solid Waste: Evidence from Municipalities in Chile," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    44. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.
    45. Yi, Tianhao & Li, Lisha & Li, Zhiyong & Zhang, Jiaxuan, 2025. "Evaluating electricity transmission and distribution efficiency using Data Envelopment Analysis Forest with feature importance," Energy, Elsevier, vol. 330(C).
    46. Dong, Hanjiang & Wang, Xiuyuan & Cui, Ziyu & Zhu, Jizhong & Li, Shenglin & Yu, Changyuan, 2025. "Machine learning-enhanced Data Envelopment Analysis via multi-objective variable selection for benchmarking combined electricity distribution performance," Energy Economics, Elsevier, vol. 143(C).

  23. Álvarez, Antonio & Amsler, Christine & Orea, Luis & Schmidt Peter, 2005. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Efficiency Series Papers 2005/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    2. Ruey-Ching Hwang & Jhao-Siang Siao & Huimin Chung & C. Chu, 2011. "Assessing bankruptcy prediction models via information content of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 36(3), pages 263-273, December.
    3. Jacob A. Bikker & Barbara Casu & Claudia Girardone & Mohamed E Chaffai & Michel Dietsch & Antonio Colangelo & Robert Inklaar & Marco Colagiovanni & Martin Czurda & Roger Hartmann & Charles-Henri Di Ma, 2009. "Productivity in the Financial Services Sector," SUERF Studies, SUERF - The European Money and Finance Forum, number 2009/4 edited by Morten Balling & Ernest Gnan & Frank Lierman & Jean-Pierre Schoder, May.
    4. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2014. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 497-522, August.
    5. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    6. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    7. J. Wesley Burnett & Jessica Madariaga, 2018. "A Top-Down Economic Efficiency Analysis of U.S. HouseholdEnergy Consumption," The Energy Journal, , vol. 39(4), pages 1-30, July.
    8. Sun, Kai & Kumbhakar, Subal C., 2013. "Semiparametric smooth-coefficient stochastic frontier model," Economics Letters, Elsevier, vol. 120(2), pages 305-309.
    9. Tamara RUDINSKAYA, 2017. "Heterogeneity and efficiency of food processing companies in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(9), pages 411-420.
    10. Argüelles, Pablo & Orea, Luis, 2020. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Efficiency Series Papers 2020/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
    12. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    13. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.
    14. Gary D. Ferrier, 2014. "Improving the "usefulness" of stochastic frontier analysis for health care," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 27-34.
    15. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2018. "Institutions and Performance of Regulated Firms: Evidence from Electric Utilities in the Indian States," Efficiency Series Papers 2018/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. Jos L. T. Blanc & Alex A. S. van Heezik & Bas Blank, 2023. "Productivity and efficiency of central government departments: a mixed-effect model applied to Dutch data in the period 2012-2019," Public Sector Economics, Institute of Public Finance, vol. 47(3), pages 335-351.
    17. Fumitoshi Mizutani & Eri Nakamura, 2017. "How do governance factors affect inefficiency? Stochastic frontier analysis of public utility firms in Japan," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(3), pages 267-289, September.
    18. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    19. Smith, Andrew S.J., 2012. "The application of stochastic frontier panel models in economic regulation: Experience from the European rail sector," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 503-515.
    20. Jinjin Zhao, 2020. "Productivity change in the privatized water sector in China (1999–2006)," Journal of Productivity Analysis, Springer, vol. 53(2), pages 227-241, April.
    21. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    22. Luis Orea & Jevgenijs Steinbuks, 2012. "Estimating Market Power in Homogeneous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Working Papers EPRG 1210, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    23. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    24. William E. Griffiths & Gholamreza Hajargasht, 2015. "Welfare Consequences of Information Aggregation and Optimal Market Size," Department of Economics - Working Papers Series 1190, The University of Melbourne.
    25. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    26. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    27. Lopez Gomez, Daniel & Parmeter, Christopher F., 2020. "Smooth coefficient estimation of stochastic frontier models," Economics Letters, Elsevier, vol. 193(C).
    28. Giovanni Forchini & Raoul Theler, 2023. "Semi-parametric modelling of inefficiencies in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 59(2), pages 135-152, April.
    29. Saastamoinen, Antti & Kuosmanen, Timo, 2016. "Quality frontier of electricity distribution: Supply security, best practices, and underground cabling in Finland," Energy Economics, Elsevier, vol. 53(C), pages 281-292.
    30. Samuele Centorrino & Mar'ia P'erez-Urdiales, 2020. "Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity," Papers 2004.12369, arXiv.org, revised Mar 2021.
    31. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    32. Nadia Belhaj Hassine & Magda Kandil, 2009. "Trade liberalisation, agricultural productivity and poverty in the Mediterranean region," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 1-29, March.
    33. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2015. "Evaluating the efficiency of Italian public universities (2008-2011) in presence of (unobserved) heterogeneity," Working papers 34, Società Italiana di Economia Pubblica.
    34. Deng, Yaguo & Wiper, Michael Peter & Lopes Moreira da Veiga, María Helena, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    35. Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    36. Tiziana Laureti, 2008. "Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 76-89, February.
    37. Dimitris K Christopoulos & Gregorios Siourounis & Irene Vlachaki, 2016. "Democratic Reforms, Foreign Aid and Production Inefficiency," Manchester School, University of Manchester, vol. 84(3), pages 363-389, June.
    38. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    39. Centorrino, Samuele & Pérez-Urdiales, María & Bravo-Ureta, Boris & Wall, Alan, 2022. "Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador," Efficiency Series Papers 2022/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    40. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    41. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    42. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    43. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    44. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    45. Fabio Pieri & Enrico Zaninotto, 2010. "Vertical Integration and Efficiency: an application to the Italian Machine Tool Industry," DISA Working Papers 1006, Department of Computer and Management Sciences, University of Trento, Italy, revised 24 Nov 2010.
    46. Orea, Luis & Wall, Alan, 2015. "A parametric frontier model for measuring eco-efficiency," Efficiency Series Papers 2015/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    47. Cliff Huang & Hung-pin Lai, 2012. "Estimation of stochastic frontier models based on multimodel inference," Journal of Productivity Analysis, Springer, vol. 38(3), pages 273-284, December.
    48. Peterson, Everett B. & Graham, Thea, 2008. "Open Skies: An Assessment of the US-EU Open Aviation Area Agreement," Conference papers 331713, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    49. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.
    50. Peter Schmidt, 2011. "One-step and two-step estimation in SFA models," Journal of Productivity Analysis, Springer, vol. 36(2), pages 201-203, October.
    51. William C. Horrace & Xiaodong Liu & Eleonora Patacchini, 2014. "Endogenous Network Production Functions with Selectivity," EIEF Working Papers Series 1406, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2014.
    52. Soroush, Golnoush & Cambini, Carlo & Jamasb, Tooraj & Llorca, Manuel, 2019. "Network Utilities Performance and Institutional Quality: Evidence from the Italian Electricity Sector," Efficiency Series Papers 2019/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    53. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    54. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP072021, School of Economics, University of Queensland, Australia.
    55. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2016. "Model Averaging Estimators for the Stochastic Frontier Model," Working Papers 2016-09, University of Miami, Department of Economics.
    56. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    57. Elizaphan J. O. Rao & Bernhard Brümmer & Matin Qaim, 2012. "Farmer Participation in Supermarket Channels, Production Technology, and Efficiency: The Case of Vegetables in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 891-912.
    58. Fabio Pieri & Enrico Zaninotto, 2010. "The Impact of Vertical Integration and Outsourcing on Firm Efficiency: Evidence from the Italian Machine Tool Industry," DISA Working Papers 1001, Department of Computer and Management Sciences, University of Trento, Italy, revised 11 Mar 2010.
    59. Nyathikala, Sai Amulya & Jamasb, Tooraj & Llorca, Manuel & Kulshrestha, Mukul, 2023. "Utility governance, incentives, and performance: Evidence from India's urban water sector," Utilities Policy, Elsevier, vol. 82(C).
    60. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    61. Subal C. Kumbhakar & Robin Sickles & Hung-Jen Wang, 2023. "Introduction," Empirical Economics, Springer, vol. 64(6), pages 2467-2474, June.
    62. Cuffey, Joel & Li, Wenying & Yu, Yang & Miao, Ruiqing, 2023. "Retail food environment and household food waste: An empirical study," Food Policy, Elsevier, vol. 117(C).
    63. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    64. (Daniel) Kao, Ta-Wei & Su, Hung-Chung & Chen, Yi-Su, 2019. "The curvilinear relationships between structural embeddedness and productive efficiency: An exploratory study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 176-185.
    65. Lawless, Martina & Martinez-Cillero, Maria & O'Toole, Conor, 2021. "SME investment determinants and financing constraints: A stochastic frontier approach," Papers WP699, Economic and Social Research Institute (ESRI).
    66. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    67. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    68. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    69. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    70. Joseph Palardy & Todd M. Nesbit & Kerry A. Adzima, 2015. "Charter versus traditional public schools: a panel study of the technical efficiency in Ohio," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 278-295, June.
    71. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    72. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    73. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    74. Orea, Luis, 2018. "Infrastructure, resource allocation and productivity growth: a mutually consistent decomposition of inter and intra-industry productivity effects," Efficiency Series Papers 2018/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    75. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    76. Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.
    77. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    78. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    79. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    80. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    81. Inmaculada C. Alvarez & Javier Barbero & Luis Orea & Andrés Rodríguez-Pose, 2023. "How institutions shape the economic returns of public investment in European regions," JRC Working Papers on Territorial Modelling and Analysis 2023-08, Joint Research Centre.
    82. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    83. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    84. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    85. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    86. Shinji Yane & Sanford Berg, 2013. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2337-2348, June.
    87. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2015. "A post-truncation parameterization of truncated normal technical inefficiency," Journal of Productivity Analysis, Springer, vol. 44(2), pages 209-220, October.
    88. Mustafa U. Karakaplan & Levent Kutlu, 2019. "Estimating market power using a composed error model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 489-510, September.
    89. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.
    90. Cheol-Keun Cho & Peter Schmidt, 2020. "The wrong skew problem in stochastic frontier models when inefficiency depends on environmental variables," Empirical Economics, Springer, vol. 58(5), pages 2031-2047, May.
    91. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen & Thia Hennessy, 2018. "The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 669-687, September.
    92. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
    93. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    94. Kim, Myungsup & Schmidt, Peter, 2008. "Valid tests of whether technical inefficiency depends on firm characteristics," Journal of Econometrics, Elsevier, vol. 144(2), pages 409-427, June.
    95. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    96. Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    97. Shamsuzzoha & Makoto Tanaka, 2021. "The role of human capital on the performance of manufacturing firms in Bangladesh," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 21-33, January.
    98. K. Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2024. "Measuring productivity when technology is heterogeneous using a latent class stochastic frontier model," Post-Print hal-04599393, HAL.
    99. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    100. Brea, Humberto & Grifell-Tatje, Emili & Orea, Luis, 2012. "Expectations with Unrealistic Optimism: An Empirical Application," Efficiency Series Papers 2012/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    101. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    102. Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.
    103. Orea, Luis, 2007. "Estimating Firm-Specific Market Power: A Composed Error Term Approach," Efficiency Series Papers 2007/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    104. Wenche Tobiasson & Manuel Llorca & Tooraj Jamasb, 2021. "Performance Effects of Network Structure and Ownership: The Norwegian Electricity Distribution Sector," Energies, MDPI, vol. 14(21), pages 1-15, November.
    105. Zhaohui Yan & Mingli Wang & Xujun Li & Hui Jiang, 2023. "Impact of African Swine Fever Epidemic on the Cost Intensity of Pork Production in China," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    106. Martinez-Cillero, Maria & Lawless, Martina & O'Toole, Conor, 2023. "Analysing SME investment, financing constraints and its determinants. A stochastic frontier approach," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 578-588.
    107. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
    108. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).

  24. Peter Schmidt & Chirok Han & Luis Orea, 2004. "Estimation of a Panel Data Model with Parametric Temporal Variation in Individual Effects," Econometric Society 2004 Far Eastern Meetings 519, Econometric Society.

    Cited by:

    1. Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    3. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    4. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
    5. William Horrace & Seth Richards-Shubik & Ian Wright, 2015. "Expected efficiency ranks from parametric stochastic frontier models," Empirical Economics, Springer, vol. 48(2), pages 829-848, March.
    6. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
    7. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 37313, University Library of Munich, Germany.
    8. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    9. Lee, Young Hoon, 2010. "Group-specific stochastic production frontier models with parametric specifications," European Journal of Operational Research, Elsevier, vol. 200(2), pages 508-517, January.
    10. Kneip, Alois & Sickles, Robin Christopher & Song, Wonho, 2006. "A New Panel Data Treatment for Heterogeneity in Time Trends," Bonn Econ Discussion Papers 1/2006, University of Bonn, Bonn Graduate School of Economics (BGSE).
    11. Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
    12. Hsu, Chih-Chiang & Lin, Chang-Ching & Yin, Shou-Yung, 2012. "Estimation of a panel stochastic frontier model with unobserved common shocks," MPRA Paper 125999, University Library of Munich, Germany.
    13. 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, June.
    14. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
    15. William Greene, 2002. "Fixed and Random Effects in Stochastic Frontier Models," Working Papers 02-16, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    17. Jinyuan Chang & Zhentao Shi & Jia Zhang, 2021. "Culling the herd of moments with penalized empirical likelihood," Papers 2108.03382, arXiv.org, revised May 2022.
    18. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    19. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    20. Satchachai, Panutat & Schmidt, Peter, 2008. "GMM with more moment conditions than observations," Economics Letters, Elsevier, vol. 99(2), pages 252-255, May.
    21. Peng Shi & Wei Zhang, 2011. "Time-varying X-efficiency: evidence from US property casualty insurers," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 217-221.
    22. Millimet, Daniel L. & Bellemare, Marc, 2023. "Fixed Effects and Causal Inference," IZA Discussion Papers 16202, Institute of Labor Economics (IZA).
    23. 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.
    24. Orea, Luis, 2007. "Estimating Firm-Specific Market Power: A Composed Error Term Approach," Efficiency Series Papers 2007/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

  25. Alvarez, Antonio & Arias, Carlos & Orea, Luis, 2004. "The Measurement of Spatial Productivity Spillovers from Public Capital," Efficiency Series Papers 2004/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Antonio Alvarez & Carlos Arias & Luis Orea, 2006. "Econometric testing of spatial productivity spillovers from public capital," Hacienda Pública Española / Review of Public Economics, IEF, vol. 178(3), pages 9-21, September.
    2. Rosik, Piotr, . "Przestrzenne efekty zewnętrzne inwestycji infrastrukturalnych. Przypadek Galicii," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2007(1-2).
    3. Piotr Rosik, 2007. "Przestrzenne efekty zewnętrzne inwestycji infrastrukturalnych. Przypadek Galicii," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1-2, pages 83-97.

  26. Alvarez, Antonio & Arias, Carlos & Orea, Luis, 2004. "Explaining Differences in Milk Quota Values: The Role of Economic Efficiency," Efficiency Series Papers 2004/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Thia Hennessy & Shailesh Shrestha & Laurence Shalloo & Michael Wallace, 2008. "The Inefficiencies of Regionalised Trade of Milk Quota," Working Papers 0811, Rural Economy and Development Programme,Teagasc.
    2. Chernoff, Alex W., 2013. "Between a Cap and a Higher Price: The Dairy Quota Trilemma," Working Papers 165804, Canadian Agricultural Trade Policy Research Network.
    3. Maurice Doyon & Virginie Simard & Kent D. Messer & Lota D. Tamini & Harry M. Kaiser, 2008. "An Experimental Analysis of Modifications to the Centralized Milk Quota Exchange System in Quebec," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(3), pages 295-312, September.
    4. Sauer, Johannes, "undated". "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36869, Agricultural Economics Society.
    5. Ang, Frederic & Oude Lansink, Alfons, 2014. "Dynamic profit inefficiency: a DEA application to Belgian dairy farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182649, European Association of Agricultural Economists.
    6. Frederic Ang & Alfons Oude Lansink, 2018. "Decomposing dynamic profit inefficiency of Belgian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 81-99.
    7. Thia Hennessy & Shailesh Shrestha & Laurence Shalloo & Michael Wallace, 2009. "The Inefficiencies of Regionalised Milk Quota Trade," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 334-347, June.
    8. Alfons Oude Lansink & Arno Van Der Vlist, 2008. "Non‐Parametric Modelling of CO2 Emission Quota," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 487-497, September.
    9. Juan Aparicio & Magdalena Kapelko & Lidia Ortiz, 2021. "Modelling environmental inefficiency under a quota system," Operational Research, Springer, vol. 21(2), pages 1097-1124, June.
    10. Alex W. Chernoff, 2015. "Between a cap and a higher price: Modelling the price of dairy quotas under price ceiling legislation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(4), pages 1403-1429, November.
    11. Casasnovas, Valero L. & Aldanondo, Ana Maria, 2011. "Influence of Animal Feeding on Milk Supply in Navarre," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114316, European Association of Agricultural Economists.
    12. Elskamp, Rebecca & Hailu, Getu, 2013. "Do Efficient Dairy Producers Purchase Quota?," Working Papers 148901, Canadian Agricultural Trade Policy Research Network.
    13. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    14. Van der Straeten, Bart & Buysse, Jeroen & Nolte, Stephan & Lauwers, Ludwig H. & Claeys, Dakerlia & Van Huylenbroeck, Guido, "undated". "Policy intervention in a concentration permit market: efficiency analysis of obligatory manure processing in Flanders," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114832, European Association of Agricultural Economists.
    15. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    16. Maria Martinez Cillero & Fiona Thorne & Michael Wallace & James Breen & Thia Hennessy, 2018. "The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 669-687, September.
    17. Sauer, J., . "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44.
    18. Maurice Doyon & Lota Tamini & Virginie Simard & Kent Messer & Harry M. Kaiser, 2006. "L'économie expérimentale pour l'analyse de modifications au système centralisé de vente du quota laitier au Québec," CIRANO Working Papers 2006s-23, CIRANO.

  27. Orea, Luis & Roibas, David & Wall, Alan, 2002. "Choosing the Technical Efficiency Orientation to Analyze Firms’ Technology: A Model Selection Test Approach," Efficiency Series Papers 2002/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Kumbhakar, Subal & Orea, Luis & Rodríguez-Álvarez, Ana & Tsionas, Efthymos, 2003. "Estimating a Mixture of Efficiency Indices," Efficiency Series Papers 2003/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Rodriguez, Xose Anton & Arias, Carlos, 2008. "The effects of resource depletion on coal mining productivity," Energy Economics, Elsevier, vol. 30(2), pages 397-408, March.
    3. Corton, Maria Luisa & Berg, Sanford V., 2009. "Benchmarking Central American water utilities," Utilities Policy, Elsevier, vol. 17(3-4), pages 267-275, September.
    4. Kumbhakar, Subal & Tsionas, Efthymios, 2003. "Recent Developments in Stochastic Frontier Modeling," Efficiency Series Papers 2003/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Carol Newman & Alan Matthews, 2006. "The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function approach," Journal of Productivity Analysis, Springer, vol. 26(2), pages 191-205, October.
    6. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    7. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    8. Roibas, David & Arias, Carlos, 2004. "Endogeneity Problems in the Estimation of Multi-Output Technologies," Efficiency Series Papers 2004/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.
    10. Fabian Frick & Johannes Sauer, 2021. "Technological Change in Dairy Farming with Increased Price Volatility," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 564-588, June.
    11. Álvarez, Antonio & Arias, Carlos & Kumbhakar, Subal, 2003. "Empirical Consequences of Direction Choice in Technical Efficiency Analysis," Efficiency Series Papers 2003/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

  28. Orea, Luis & Kumbhakar, Subal, 2002. "Measuring Efficiency using a Stochastic Frontier Latent Class Model," Efficiency Series Papers 2002/11, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Subal Kumbhakar & Efthymios Tsionas, "undated". "Does Deregulation Change Economic Behavior of Firms?," Working Papers 0303, University of Crete, Department of Economics.
    2. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    3. Fernandez-Blanco, Victor & Orea, Luis & Prieto-Rodriguez, Juan, 2009. "Analyzing consumers heterogeneity and self-reported tastes: An approach consistent with the consumer's decision making process," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 622-633, August.
    4. Mª Jesús Delgado Rodríguez & Inmaculada Alvarez Ayuso, 2004. "Capital público y eficiencia productiva: evidencia para la UE-15," Hacienda Pública Española / Review of Public Economics, IEF, vol. 168(1), pages 27-46, marzo.

  29. Álvarez, Antonio & Orea, Luis, 2001. "Different Methods of Modeling Multi-Species Fisheries Using a Primal Approach," Efficiency Series Papers 2001/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Ines Herrero & Sean Pascoe, 2003. "Value versus Volume in the Catch of the Spanish South‐Atlantic Trawl Fishery," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(2), pages 325-341, July.

  30. Luis Orea Sánchez & Rafael Álvarez Cuesta, 1998. "- Firm-Specific Temporal Variation In Technical Efficency Results Of: A Stochastic Output Distance Function," Working Papers. Serie EC 1998-27, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Ignacio Fuentes & Teresa Sastre, 1999. "Mergers and Acquisitions in the Spanish Banking Industry: some Empirical Evidence," Working Papers 9924, Banco de España.

Articles

  1. Luis Orea & José A. Pérez‐Méndez & Inmaculada Álvarez, 2024. "Does land consolidation promote livestock production and combat rural depopulation in northern Spain?," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(3), pages 847-868, September.

    Cited by:

    1. Valentin Cocco & Raja Chakir & Lauriane Mouysset, 2025. "Guilty or scapegoat? Land consolidation and the hedgerow decline [Coupable ou bouc émissaire ? Le remembrement et le déclin des haies]," Post-Print hal-04658788, HAL.
    2. Luis Orea & K Hervé Dakpo, 2025. "Latent class models with persistence in regime changes: a distributed lag analysis [Modèles de classes latentes avec persistance dans les changements de régime : une analyse des retards distribués]," Post-Print hal-05322436, HAL.

  2. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2023. "Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 59(3), pages 259-279, June.

    Cited by:

    1. Kumbhakar, Subal C. & Wang, Yulu, 2024. "Global COVID-19 under-reporting: A Tobit model," Economic Modelling, Elsevier, vol. 141(C).
    2. Puerta-Cuartas, Alejandro & Ramírez-Hassan, Andrés, 2025. "A spatial one-sided error model to identify where unarrested criminals live," Economic Modelling, Elsevier, vol. 142(C).
    3. Danelon, André F. & Kumbhakar, Subal C., 2023. "Estimating COVID-19 under-reporting through stochastic frontier analysis and official statistics: A case study of São Paulo State, Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).

  3. Luis Orea & Antonio Alvarez, 2022. "Alternative specifications of human capital in production functions," Economics and Business Letters, Oviedo University Press, vol. 11(4), pages 172-179.

    Cited by:

    1. Yekimov, Sergey, 2023. "Construction of a production function in the form of series of exponents of a function of a complex variable (on the example of the Czech Republic 2006-2021)," MPRA Paper 117076, University Library of Munich, Germany.

  4. Luis Orea & Inmaculada C. Álvarez, 2022. "How effective has the Spanish lockdown been to battle COVID‐19? A spatial analysis of the coronavirus propagation across provinces," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 154-173, January.

    Cited by:

    1. Garz, Marcel & Zhuang, Maiting, 2022. "Media coverage and pandemic behaviour: Evidence from Sweden," Misum Working Paper Series 2022-9, Stockholm School of Economics, Mistra Center for Sustainable Markets (Misum).
    2. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    3. Cooper, Daniel & Garga, Vaishali & Luengo-Prado, María José & Tang, Jenny, 2023. "The mitigating effect of masks on the spread of Covid-19," Economics & Human Biology, Elsevier, vol. 48(C).
    4. Marcin Mazur & Jerzy Bański & Wioletta Kamińska, 2024. "The Geographical Conditioning of Regional Differentiation Characterising the COVID-19 Pandemic in European Countries," IJERPH, MDPI, vol. 21(10), pages 1-20, October.
    5. Sen, Anindya & Baker, John David & Zhang, Qihuang & Agarwal, Rishav Raj & Lam, Jean-Paul, 2023. "Do more stringent policies reduce daily COVID-19 case counts? Evidence from Canadian provinces," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 225-242.
    6. Yulu Wang & Subal C. Kumbhakar, 2025. "COVID-19 under-reporting: spillovers and stringent containment strategies of global cases," Journal of Productivity Analysis, Springer, vol. 63(1), pages 87-106, February.
    7. Kumbhakar, Subal C. & Wang, Yulu, 2024. "Global COVID-19 under-reporting: A Tobit model," Economic Modelling, Elsevier, vol. 141(C).
    8. Richard Gearhart & Lyudmyla Sonchak-Ardan & Nyakundi Michieka, 2022. "The efficiency of COVID cases to COVID policies: a robust conditional approach," Empirical Economics, Springer, vol. 63(6), pages 2903-2948, December.

  5. Pablo Argüelles & Luis Orea, 2021. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Empirical Economics, Springer, vol. 60(6), pages 2867-2896, June.
    See citations under working paper version above.
  6. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.
    See citations under working paper version above.
  7. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    See citations under working paper version above.
  8. Luis Orea & Jevgenijs Steinbuks, 2018. "Estimating Market Power In Homogenous Product Markets Using A Composed Error Model: Application To The California Electricity Market," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1296-1321, April.
    See citations under working paper version above.
  9. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
    See citations under working paper version above.
  10. Luis Orea, Inmaculada C. Álvarez, and Tooraj Jamasb, 2018. "A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

    Cited by:

    1. Anthony J. Glass & Karligash Kenjegalieva, 2023. "Dynamic returns to scale and geography in U.S. banking," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 53-85, February.
    2. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    3. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    4. Zhang, Qizheng & Qian, Zesen & Wang, Shuo & Yuan, Lingran & Gong, Binlei, 2022. "Productivity drain or productivity gain? The effect of new technology adoption in the oilfield market," Energy Economics, Elsevier, vol. 108(C).
    5. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    6. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    7. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Álvarez, Inmaculada C. & Gude, Alberto & Orea, Luis, 2019. "Effects of inter-industry and spatial spillovers on regional productivity: Evidence from Spanish panel data," Efficiency Series Papers 2019/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Kerui Du & Luis Orea & Inmaculada C. Alvarez, 2023. "Fitting spatial stochastic frontier models in Stata," Efficiency Series Papers 2023/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Puerta-Cuartas, Alejandro & Ramírez-Hassan, Andrés, 2025. "A spatial one-sided error model to identify where unarrested criminals live," Economic Modelling, Elsevier, vol. 142(C).
    11. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim J.S., 2024. "Can operational efficiency in the Portuguese electricity sector be improved? Yes, but..," Energy Policy, Elsevier, vol. 190(C).
    12. Anthony J. Glass & Karligash Kenjegalieva, 2024. "Returns to scale, spillovers and persistence: A network perspective of U.S. bank size," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2049-2076, April.
    13. Wenche Tobiasson & Manuel Llorca & Tooraj Jamasb, 2021. "Performance Effects of Network Structure and Ownership: The Norwegian Electricity Distribution Sector," Energies, MDPI, vol. 14(21), pages 1-15, November.
    14. Glass, Anthony J. & Kenjegalieva, Karligash, 2019. "A spatial productivity index in the presence of efficiency spillovers: Evidence for U.S. banks, 1992–2015," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1165-1179.
    15. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).

  11. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).

    Cited by:

    1. Orea, Luis & Álvarez, Inmaculada C. & Jamasb, Tooraj, 2016. "A spatial approach to control for unobserved environmental conditions when measuring firms’ technology: an application to Norwegian electricity distribution networks," Efficiency Series Papers 2016/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Lisa Just, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    3. Luis Orea & Inmaculada C. Alvarez & Tooraj Jamasb, 2018. "A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway," The Energy Journal, , vol. 39(3), pages 93-116, May.
    4. Livingstone Senyonga and Olvar Bergland, 2018. "Impact of High-Powered Incentive Regulations on Efficiency and Productivity Growth of Norwegian Electricity Utilities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    5. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    6. Romano, Teresa & Cambini, Carlo & Fumagalli, Elena & Rondi, Laura, 2022. "Setting network tariffs with heterogeneous firms: The case of natural gas distribution," European Journal of Operational Research, Elsevier, vol. 297(1), pages 280-290.
    7. Soroush, Golnoush & Cambini, Carlo & Jamasb, Tooraj & Llorca, Manuel, 2019. "Network Utilities Performance and Institutional Quality: Evidence from the Italian Electricity Sector," Efficiency Series Papers 2019/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Magdalena Kapelko & Alfons Oude Lansink, 2022. "Measuring firms' dynamic inefficiency accounting for corporate social responsibility in the U.S. food and beverage manufacturing industry," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1702-1721, December.
    10. Luis Orea & Inmaculada C. Álvarez & Tooraj Jamasb, 2016. "Using a spatial econometric approach to mitigate omitted variables in stochastic frontier models: An application to Norwegian electricity distribution networks," Working Papers EPRG 1630, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.

  12. Luis Orea & Alan Wall, 2017. "A Parametric Approach to Estimating Eco-Efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 901-907, September.

    Cited by:

    1. Oleg Badunenko & Marzio Galeotti & Lester C. Hunt, 2021. "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier," Working Papers 2021.28, Fondazione Eni Enrico Mattei.
    2. Yan Ma & Xingyu Wang & Chuanliang Zhong, 2024. "Spatial and Temporal Differences and Influencing Factors of Eco-Efficiency of Cultivated Land Use in Main Grain-Producing Areas of China," Sustainability, MDPI, vol. 16(13), pages 1-20, July.
    3. Jaroslav Havlíček & Ludmila Dömeová & Luboš Smutka & Helena Řezbová & Lucie Severová & Tomáš Šubrt & Karel Šrédl & Roman Svoboda, 2020. "Efficiency of Pig Production in the Czech Republic and in an International Context," Agriculture, MDPI, vol. 10(12), pages 1-18, December.
    4. Mingjia Chi & Qinyang Guo & Lincheng Mi & Guofeng Wang & Weiming Song, 2022. "Spatial Distribution of Agricultural Eco-Efficiency and Agriculture High-Quality Development in China," Land, MDPI, vol. 11(5), pages 1-15, May.
    5. Juan Aparicio & Magdalena Kapelko & Lidia Ortiz, 2021. "Modelling environmental inefficiency under a quota system," Operational Research, Springer, vol. 21(2), pages 1097-1124, June.
    6. Kang, Shijia & Frick, Fabian & Ait Sidhoum, Amer & Sauer, Johannes & Zheng, Shaofeng, 2023. "Does food quality certification improve eco-efficiency? Empirical evidence from Chinese vegetable production," Food Policy, Elsevier, vol. 121(C).
    7. Jingrong Xu & Dechun Huang & Zhengqi He & Yun Zhu, 2020. "Research on the Structural Features and Influential Factors of the Spatial Network of China’s Regional Ecological Efficiency Spillover," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    8. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.
    9. Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., 2023. "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a stochastic environmental Kuznets frontier (SEKF)," Energy Economics, Elsevier, vol. 121(C).
    10. Jie Li & Zhengchuan Sun & Qin Gao & Yanbin Qi, 2024. "Evaluation of Cropland Utilization Eco-Efficiency and Influencing Factors in Primary Grain-Producing Regions of China," Agriculture, MDPI, vol. 14(2), pages 1-18, February.
    11. Yantuan Yu & Yun Zhang & Xiao Miao, 2018. "Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China," IJERPH, MDPI, vol. 15(10), pages 1-27, October.
    12. Carolina Cosculluela-Martínez, 2020. "Sustainable Knowledge Investment Increases Employment and GDP in the Spanish Agricultural Sector More Than Other Investments," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    13. Yang Peng & Yiwei Liu & Liyu Mao & Jiahong Zhang & Jieru Zhu & Shuisheng Fan, 2025. "Can Agricultural Sustainable Development and Rural Industrialization Be Achieved Simultaneously? The Practice of Rural Industrial Integration from China," Agriculture, MDPI, vol. 15(16), pages 1-25, August.
    14. Habtamu Alem, 2023. "A parametric analysis of eco-efficiency and its determinants: Evidence from Norwegian dairy farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(7), pages 284-290.
    15. Christian Stetter & Johannes Sauer, 2022. "Greenhouse Gas Emissions and Eco-Performance at Farm Level: A Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 617-647, March.
    16. Svetlana Ratner & Andrey Lychev & Aleksei Rozhnov & Igor Lobanov, 2021. "Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 9(18), pages 1-21, September.

  13. Fernanda Gutiérrez-Navratil & Víctor Fernández-Blanco & Luis Orea Sánchez & Juan Prieto Rodríguez, 2017. "Do Movie Majors Really Collude? Indirect Evidence from Release Schedules," Hacienda Pública Española / Review of Public Economics, IEF, vol. 221(2), pages 9-31, June.

    Cited by:

    1. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.

  14. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    See citations under working paper version above.
  15. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.

    Cited by:

    1. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    3. Anna Dahlqvist & Tommy Lundgren & Per-Olov Marklund, 2021. "The Rebound Effect in Energy-Intensive Industries:A Factor Demand Model with Asymmetric Price Response," The Energy Journal, , vol. 42(3), pages 177-204, May.
    4. J. Wesley Burnett & Jessica Madariaga, 2018. "A Top-Down Economic Efficiency Analysis of U.S. HouseholdEnergy Consumption," The Energy Journal, , vol. 39(4), pages 1-30, July.
    5. Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
    6. Andor, Mark Andreas & Bernstein, David H. & Sommer, Stephan, 2020. "Determining the efficiency of residential electricity consumption," Ruhr Economic Papers 870, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Wenjie Zhang & Hongping Yuan, 2019. "Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?," Energies, MDPI, vol. 12(8), pages 1-18, April.
    8. Belaïd, Fateh & Mikayilov, Jeyhun I., 2024. "Closing the Efficiency Gap: Insights into curbing the direct rebound effect of residential electricity consumption in Saudi Arabia," Energy Economics, Elsevier, vol. 135(C).
    9. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    10. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.
    11. Massié, Camille & Belaïd, Fateh, 2024. "Estimating the direct rebound effect for residential electricity use in seventeen European countries: Short and long-run perspectives," Energy Economics, Elsevier, vol. 134(C).
    12. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
    13. Llorca, M. & Jamasb, T., 2016. "Energy efficiency and rebound effect in European road freight transport," Cambridge Working Papers in Economics 1654, Faculty of Economics, University of Cambridge.
    14. Li, Guohao & Niu, Miaomiao & Xiao, Jin & Wu, Jiaqian & Li, Jinkai, 2023. "The rebound effect of decarbonization in China’s power sector under the carbon trading scheme," Energy Policy, Elsevier, vol. 177(C).
    15. Yael Nidam & Ali Irani & Jamie Bemis & Christoph Reinhart, 2023. "Census-based urban building energy modeling to evaluate the effectiveness of retrofit programs," Environment and Planning B, , vol. 50(9), pages 2394-2406, November.
    16. Berner, Anne & Lange, Steffen & Silbersdorff, Alexander, 2022. "Firm-level energy rebound effects and relative efficiency in the German manufacturing sector," Energy Economics, Elsevier, vol. 109(C).
    17. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    18. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    19. Ohler, Adrienne M. & Loomis, David G. & Ilves, Kadi, 2020. "A study of electricity savings from energy star appliances using household survey data," Energy Policy, Elsevier, vol. 144(C).
    20. Rishan Adha & Cheng-Yih Hong & Somya Agrawal & Li-Hua Li, 2023. "ICT, carbon emissions, climate change, and energy demand nexus: The potential benefit of digitalization in Taiwan," Energy & Environment, , vol. 34(5), pages 1619-1638, August.
    21. Nepal, Rabindra & al Irsyad, Muhammad Indra & Jamasb, Tooraj, 2020. "Sectoral Electricity Demand and Direct Rebound Effect in New Zealand," Working Papers 9-2020, Copenhagen Business School, Department of Economics.
    22. Taoyuan Wei & Xue Wang, 2020. "Rebound Effect from Income Savings Due to an Energy Efficiency Improvement by Households: An Input–Output Approach," Energies, MDPI, vol. 13(16), pages 1-10, August.
    23. Calvin Nsangou, Jean & Kenfack, Joseph & Nzotcha, Urbain & Tamo, Thomas Tatietse, 2020. "Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach," Energy, Elsevier, vol. 211(C).
    24. Zhao, Xiaolei & Li, Xuemei & Mao, Yumeng & Fang, Jianjun, 2025. "Electric vehicle adoption and the energy rebound effect in the transportation sector: evidence from China," Transport Policy, Elsevier, vol. 169(C), pages 227-241.
    25. Giovanni Forchini & Raoul Theler, 2023. "Semi-parametric modelling of inefficiencies in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 59(2), pages 135-152, April.
    26. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Olena Zahoretska & Myroslava Kusiy & Roman Lesyk & Lilia Lesyk, 2019. "Changes in Energy Consumption, Economic Growth and Aspirations for Energy Independence: Sectoral Analysis of Uses of Natural Gas in Ukrainian Economy," Energies, MDPI, vol. 12(24), pages 1-34, December.
    27. Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
    28. Brockway, Paul E. & Sorrell, Steve & Semieniuk, Gregor & Heun, Matthew Kuperus & Court, Victor, 2021. "Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    29. Cansino, José M. & Ordóñez, Manuel & Prieto, Manuela, 2022. "Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain," Applied Energy, Elsevier, vol. 306(PA).
    30. Berner, Anne & Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," University of Göttingen Working Papers in Economics 422, University of Goettingen, Department of Economics.
    31. Manuel Llorca & José Baños & José Somoza & Pelayo Arbués, 2017. "A Stochastic Frontier Analysis Approach for Estimating Energy Demand and Efficiency in the Transport Sector of Latin America and the Caribbean," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    32. Karakaya, Etem & Alataş, Sedat & Erkara, Elif & Mert, Betül & Akdoğan, Tuğba & Hiçyılmaz, Burcu, 2024. "The rebound effect of material and energy efficiency for the EU and its major trading partners," Energy Economics, Elsevier, vol. 134(C).
    33. Miao, Zhuang & Chen, Xiaodong, 2022. "Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    34. Khoshkalam Khosroshahi, Musa & Sayadi, Mohammad, 2020. "Tracking the sources of rebound effect resulting from the efficiency improvement in petrol, diesel, natural gas and electricity consumption; A CGE analysis for Iran," Energy, Elsevier, vol. 197(C).
    35. Charlier, Dorothée, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Energy Policy, Elsevier, vol. 156(C).
    36. Marco Baudino & Jackie Krafft & Francesco Quatraro, 2024. "Exploring the direct rebound effects for residential electricity demand in urban environments: evidence from Nice," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(3), pages 757-795, March.
    37. Kahouli, Sondes & Pautrel, Xavier, "undated". "Residential and Industrial Energy Efficiency Improvement: A Dynamic General Equilibrium Analysis of the Rebound Effect," FEP: Future Energy Program 308024, Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program.
    38. Dahlqvist, Anna & Lundgren, Tommy & Marklund, Per-Olov, 2017. "Assessing the Rebound Effect in Energy Intensive Industries: A Factor Demand Model Approach with Asymmetric Price Response," Working Papers 150, National Institute of Economic Research.
    39. Kerui Du, Shuai Shao, and Zheming Yan, 2021. "Urban Residential Energy Demand and Rebound Effect in China: A Stochastic Energy Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    40. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
    41. Meng, Ming & Li, Xinxin, 2022. "Evaluating the direct rebound effect of electricity consumption: An empirical analysis of the provincial level in China," Energy, Elsevier, vol. 239(PB).
    42. Jin, Taeyoung & Kim, Jinsoo, 2019. "A new approach for assessing the macroeconomic growth energy rebound effect," Applied Energy, Elsevier, vol. 239(C), pages 192-200.
    43. Wenjie Zhang & Hongping Yuan, 2019. "A Bibliometric Analysis of Energy Performance Contracting Research from 2008 to 2018," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
    44. Marin, Giovanni & Palma, Alessandro, 2017. "Technology invention and adoption in residential energy consumption," Energy Economics, Elsevier, vol. 66(C), pages 85-98.
    45. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Olena Vovk & Oksana Ivanytska & Dmytro Symak & Anatolii Havryliak & Taras Danylovych & Lilia Lesyk, 2021. "Criteria, Indicators, and Factors of the Sustainable Energy-Saving Economic Development: The Case of Natural Gas Consumption," Energies, MDPI, vol. 14(18), pages 1-27, September.
    46. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.
    47. Sonds Kahouli & Xavier Pautrel, 2023. "Residential and Industrial Energy Efficiency Improvements: A Dynamic General Equilibrium Analysis of the Rebound Effect," Post-Print hal-05227672, HAL.
    48. Amjadi, Golnaz, 2020. "Essays on Energy Efficiency, Environmental Regulation and Labor Demand in Swedish Industry," Umeå Economic Studies 982, Umeå University, Department of Economics.
    49. Baležentis, Tomas & Butkus, Mindaugas & Štreimikienė, Dalia & Shen, Zhiyang, 2021. "Exploring the limits for increasing energy efficiency in the residential sector of the European Union: Insights from the rebound effect," Energy Policy, Elsevier, vol. 149(C).
    50. David Stern, 2020. "How Large is the Economy-Wide Rebound Effect?," CAMA Working Papers 2020-70, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    51. Amjadi, Golnaz & Lundgren, Tommy & Persson, Lars, 2018. "The Rebound Effect in Swedish Heavy Industry," Energy Economics, Elsevier, vol. 71(C), pages 140-148.
    52. Klára Čermáková & Eduard Hromada, 2022. "Change in the Affordability of Owner-Occupied Housing in the Context of Rising Energy Prices," Energies, MDPI, vol. 15(4), pages 1-18, February.
    53. Liu, Yunqiang & Ye, Deping & Liu, Sha & Wang, Fang & Zeng, Hui & Tang, Hong, 2024. "Whether the agricultural energy rebound offsets the governance effectiveness of the China's natural resource audit policy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    54. Tan, Ruipeng & Zhang, Zixuan & Du, Kerui & Lin, Boqiang, 2025. "Energy rebound effect in China: Measurement based on a variable coefficient production function," Ecological Economics, Elsevier, vol. 230(C).
    55. Zhou, Meifang & Liu, Yu & Feng, Shenghao & Liu, Yang & Lu, Yingying, 2018. "Decomposition of rebound effect: An energy-specific, general equilibrium analysis in the context of China," Applied Energy, Elsevier, vol. 221(C), pages 280-298.
    56. Adha, Rishan & Hong, Cheng-Yih & Firmansyah, M. & Paranata, Ade, 2021. "Rebound effect with energy efficiency determinants: a two-stage analysis of residential electricity consumption in Indonesia," MPRA Paper 110444, University Library of Munich, Germany.
    57. Lin, Boqiang & Zhu, Penghu, 2021. "Measurement of the direct rebound effect of residential electricity consumption: An empirical study based on the China family panel studies," Applied Energy, Elsevier, vol. 301(C).
    58. Gechert, Sebastian & Mey, Bianka & Prante, Franz & Schäfer, Teresa, 2025. "The Price Elasticity of Heating and Cooling Energy Demand," I4R Discussion Paper Series 265, The Institute for Replication (I4R).
    59. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    60. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    61. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    62. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    63. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    64. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
    65. Ricardo F. Díaz & Blanca Sanchez-Robles, 2020. "Non-Parametric Analysis of Efficiency: An Application to the Pharmaceutical Industry," Mathematics, MDPI, vol. 8(9), pages 1-27, September.
    66. Cécile Hediger, 2022. "Rebound effects in residential heating: How much does an extra degree matter?," IRENE Working Papers 22-05, IRENE Institute of Economic Research.
    67. Llorca, Manuel & Rodriguez-Alvarez, Ana, 2025. "Is Spain’s Energy Voucher Lighting the Way for the Poor? A Microeconomic Evaluation of the Bono Social Eléctrico," Working Papers 4-2025, Copenhagen Business School, Department of Economics.
    68. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    69. Yuan, Zhen & Xu, Jie & Li, Bing & Yao, Tingting, 2022. "Limits of technological progress in controlling energy consumption: Evidence from the energy rebound effects across China's industrial sector," Energy, Elsevier, vol. 245(C).
    70. Soares, N. & Bastos, J. & Pereira, L. Dias & Soares, A. & Amaral, A.R. & Asadi, E. & Rodrigues, E. & Lamas, F.B. & Monteiro, H. & Lopes, M.A.R. & Gaspar, A.R., 2017. "A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 845-860.
    71. Wei, Kai & Zhang, Zuopeng Justin & Lin, Boqiang, 2024. "Does news propaganda really affect residents’ electricity rebound effect: New evidence of non-price information," Energy, Elsevier, vol. 300(C).
    72. Zhuang, Mufan & Gao, Ziyan & Geng, Yong & Xiao, Shijiang, 2022. "Spatial distribution pattern of embodied natural resources use in China and its relationship with socioeconomic development: From an exergetic perspective," Resources Policy, Elsevier, vol. 79(C).
    73. Zhu, Yuke & Lan, Mudan, 2023. "Digital economy and carbon rebound effect: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
    74. Sondes Kahouli & Xavier Pautrel, 2020. "Residential and Industrial Energy Efficiency Improvement: A Dynamic General Equilibrium Analysis of the Rebound Effect," Working Papers 2020.28, Fondazione Eni Enrico Mattei.
    75. Gechert, Sebastian & Mey, Bianka & Prante, Franz & Schäfer, Teresa, 2025. "The Price Elasticity of Heating and Cooling Energy Demand," OSF Preprints 4sjy5_v2, Center for Open Science.
    76. Sonds Kahouli & Xavier Pautrel, 2023. "Residential and Industrial Energy Efficiency Improvements: A Dynamic General Equilibrium Analysis of the Rebound Effect," The Energy Journal, , vol. 44(3), pages 23-63, May.
    77. Ouyang, Xiaoling & Yang, Yuchuan & Du, Kerui & Cheng, Zhenyu, 2022. "How does residential electricity consumption respond to electricity efficiency improvement? Evidence from 287 prefecture-level cities in China," Energy Policy, Elsevier, vol. 171(C).
    78. Huang, Chenchen & Lin, Boqiang, 2025. "The impact of digital economy on energy rebound effect in China: A stochastic energy demand frontier approach," Energy Policy, Elsevier, vol. 196(C).
    79. Kong, Li & Mu, Xianzhong & Hu, Guangwen & Tu, Chuang, 2023. "Will energy efficiency improvements reduce energy consumption? Perspective of rebound effect and evidence from beijing," Energy, Elsevier, vol. 263(PA).
    80. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
    81. Thomas Weyman-Jones & Júlia Mendonça Boucinha, 2024. "Behavioral Efficiency and Residential Electricity Consumption: A Microdata Study," Sustainability, MDPI, vol. 16(15), pages 1-34, August.

  16. Fernanda Gutierrez-Navratil & Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2014. "How do your rivals’ releasing dates affect your box office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 71-84, February.
    See citations under working paper version above.
  17. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.

    Cited by:

    1. Lisa Just, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Bernardina Algieri & Antonio à lvarez, 2023. "Assessing the ability of regions to attract foreign tourists: The case of Italy," Tourism Economics, , vol. 29(3), pages 788-811, May.
    3. Llorca, M. & Jamasb, T., 2016. "Energy efficiency and rebound effect in European road freight transport," Cambridge Working Papers in Economics 1654, Faculty of Economics, University of Cambridge.
    4. Manuel Llorca & José Baños & José Somoza & Pelayo Arbués, 2017. "A Stochastic Frontier Analysis Approach for Estimating Energy Demand and Efficiency in the Transport Sector of Latin America and the Caribbean," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    5. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    6. Per J. AGRELL & Humberto BREA-SOLIS, 2017. "Capturing heterogeneity in electricity distribution operations: a critical review of latent class modelling," LIDAM Reprints CORE 2827, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    8. Agrell, P & Brea-Solís, H., 2015. "Stationarity of Heterogeneity in Production Technology using Latent Class Modelling," LIDAM Discussion Papers CORE 2015047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Ilya A. Dolmatov & Vladimir V. Dvorkin & Igor V. Maskaev, 2015. "Parametric and Non-Parametric Cost Efficiency Benchmarking of Water Utilities in Russia," HSE Working papers WP BRP 42/MAN/2015, National Research University Higher School of Economics.

  18. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.

    Cited by:

    1. Orea, Luis & Álvarez, Inmaculada C. & Jamasb, Tooraj, 2016. "A spatial approach to control for unobserved environmental conditions when measuring firms’ technology: an application to Norwegian electricity distribution networks," Efficiency Series Papers 2016/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Lisa Just, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    3. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    4. Francisco Benita & Serhad Sarica & Garvit Bansal, 2020. "Testing the static and dynamic performance of statistical methods for the detection of national industrial clusters," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1137-1157, August.
    5. Christian Grovermann & Tesfamicheal Wossen & Adrian Muller & Karin Nichterlein, 2019. "Eco-efficiency and agricultural innovation systems in developing countries: Evidence from macro-level analysis," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-16, April.
    6. Li, Biao & Xie, Bai-Chen & Yu, Xiao-Chen & She, Zhen-Yu & Hu, Wenhao, 2025. "Does the incentive policy for renewable energy grid connection affect the technical efficiency of power grid companies? Empirical analysis based on China and Japan," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 28-47.
    7. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    8. Rita, Rui & Marques, Vitor & Lúcia Costa, Ana & Matos Chaves, Inês & Gomes, Joana & Paulino, Paulo, 2018. "Efficiency performance and cost structure of Portuguese energy “utilities” – Non-parametric and parametric analysis," Energy, Elsevier, vol. 155(C), pages 35-45.
    9. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    10. Feder, Christophe, 2018. "The effects of disruptive innovations on productivity," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 186-193.
    11. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.
    12. Kerstens, Kristiaan & O’Donnell, Christopher & Van de Woestyne, Ignace, 2019. "Metatechnology frontier and convexity: A restatement," European Journal of Operational Research, Elsevier, vol. 275(2), pages 780-792.
    13. Romano, Teresa & Cambini, Carlo & Fumagalli, Elena & Rondi, Laura, 2022. "Setting network tariffs with heterogeneous firms: The case of natural gas distribution," European Journal of Operational Research, Elsevier, vol. 297(1), pages 280-290.
    14. da Silva, Aline Veronese & Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & do Carmo, Gabriela Miranda, 2019. "A close look at second stage data envelopment analysis using compound error models and the Tobit model," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 111-126.
    15. Per J. AGRELL & Humberto BREA-SOLIS, 2017. "Capturing heterogeneity in electricity distribution operations: a critical review of latent class modelling," LIDAM Reprints CORE 2827, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. MCarmen Martínez‐Victoria & Alfons Oude Lansink, 2024. "Risk and return efficiency of manufacturing firms: Integrating corporate social responsibility performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 3735-3744, September.
    17. Pavala Malar Kannan & Govindan Marthandan & Rathimala Kannan, 2021. "Modelling Efficiency of Electric Utilities Using Three Stage Virtual Frontier Data Envelopment Analysis with Variable Selection by Loads Method," Energies, MDPI, vol. 14(12), pages 1-21, June.
    18. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    19. Chinmoy, Lakshmi & Iniyan, S. & Goic, Ranko, 2019. "Modeling wind power investments, policies and social benefits for deregulated electricity market – A review," Applied Energy, Elsevier, vol. 242(C), pages 364-377.
    20. Vesterberg, Mattias & Zhou, Wenchao & Lundgren, Tommy, 2021. "Wind of change: Small-scale electricity production and distribution-grid efficiency in Sweden," Utilities Policy, Elsevier, vol. 69(C).
    21. Magdalena Kapelko & Alfons Oude Lansink, 2022. "Measuring firms' dynamic inefficiency accounting for corporate social responsibility in the U.S. food and beverage manufacturing industry," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1702-1721, December.
    22. Luis Orea & Inmaculada C. Álvarez & Tooraj Jamasb, 2016. "Using a spatial econometric approach to mitigate omitted variables in stochastic frontier models: An application to Norwegian electricity distribution networks," Working Papers EPRG 1630, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    23. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    24. Agrell, P & Brea-Solís, H., 2015. "Stationarity of Heterogeneity in Production Technology using Latent Class Modelling," LIDAM Discussion Papers CORE 2015047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Maria Nieswand & Stefan Seifert, 2016. "Operational Conditions in Regulatory Benchmarking Models: A Monte Carlo Analysis," Discussion Papers of DIW Berlin 1585, DIW Berlin, German Institute for Economic Research.
    26. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    27. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.
    28. Ronald G. McGarvey & Andreas Thorsen & Maggie L. Thorsen & Rohith Madhi Reddy, 2019. "Measuring efficiency of community health centers: a multi-model approach considering quality of care and heterogeneous operating environments," Health Care Management Science, Springer, vol. 22(3), pages 489-511, September.

  19. Helena Meier, Tooraj Jamasb, and Luis Orea, 2013. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    See citations under working paper version above.
  20. Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2013. "Endogeneity and measurement errors when estimating demand functions with average prices: an example from the movie market," Empirical Economics, Springer, vol. 44(3), pages 1477-1496, June.

    Cited by:

    1. Sara Suarez-Fernandez & Maria Jose Perez-Villadoniga & Juan Prieto-Rodriguez, 2018. "Are We (Un)Consciously Driven by First Impressions? Price Declarations vs. Observed Cinema Demand when VAT Increases," ACEI Working Paper Series AWP-02-2018, Association for Cultural Economics International, revised Jul 2018.
    2. Liu, Yulin & Sadiq, Muhammad & Wen, Fenghua & Cao, Zhiling, 2024. "Interbank deposits and bank systemic risk," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    3. Darlene Chisholm & Víctor Fernández-Blanco & S. Abraham Ravid & W. David Walls, 2015. "Economics of motion pictures: the state of the art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 1-13, February.
    4. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
    5. Prakash, Kushneel & Awaworyi Churchill, Sefa & Smyth, Russell, 2020. "Petrol prices and subjective wellbeing," Energy Economics, Elsevier, vol. 90(C).
    6. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    7. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
    8. Victoria Ateca-Amestoy & Javier Gardeazabal & Arantza Ugidos, 2020. "On the response of household expenditure on cinema and performing arts to changes in indirect taxation: a natural experiment in Spain," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 213-253, June.
    9. Javier García-Enríquez & Cruz A. Echevarría, 2018. "Demand for culture in Spain and the 2012 VAT rise," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 469-506, August.
    10. Amanda S. King & John T. King & Michael Reksulak, 2017. "Signaling for access to high-demand markets: evidence from the US motion picture industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 441-465, November.

  21. Luis Orea & Alan Wall, 2012. "Productivity and Producer Welfare in the Presence of Production Risk," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(1), pages 102-118, February.

    Cited by:

    1. Ayenew, Habtamu Yesigat & Sauer, Johannes & Abate-Kassa, Getachew, 2016. "Cost of Risk Exposure, Farm Disinvestment and Adaptation to Climate Uncertainties: The Case of Arable Farms in the EU," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235595, Agricultural and Applied Economics Association.
    2. Nakamura, Hiroshi & Wakutsu, Naohiko, 2020. "Reducing Reimbursement Drug Price Risk to Enhance R&D Incentives without Raising Drug Prices/Expenditures: Implications of Simulations Based on Questionnaire Survey of Pharmaceutical Companies in Japa," Health Policy, Elsevier, vol. 124(7), pages 714-720.
    3. Martinsson , Elin & Storm, Hugo, . "Conceptualization of How Adopting Novel Technology Induces Structural and Behavioural Changes on Farms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 50(3).
    4. Petr Bora & Michal Vaněk, 2017. "Estimating the Cost of Equity Using a Mining Build-up Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1643-1653.
    5. Ayenew, Habtamu Yesigat & Sauer, Johannes & Abate-Kassa, Getachew, 2015. "Expossure To Risk And Risk Management In Smallholder Agriculture," 55th Annual Conference, Giessen, Germany, September 23-25, 2015 209211, German Association of Agricultural Economists (GEWISOLA).
    6. Gillespie, Patrick R. & Breen, Ben, 2016. "Accounting for fishing vessel time allocation at sea when measuring efficiency," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236356, Agricultural Economics Society.
    7. Appelbaum, E., 1989. "Uncertainty And The Measurement Of Productivity," Papers 89-05, York (Canada) - Department of Economics.
    8. Hiroshi Nakamura & Naohiko Wakutsu, 2019. "Reducing pharmaceutical reimbursement price risk to lower national health expenditures without lowering R&D incentives," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 75-88, January.
    9. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. Amer Ait Sidhoum, 2023. "Measuring farm productivity under production uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 672-687, October.

  22. Luis Orea, 2012. "Entry deterrence through regional regulation and strict licensing policy: an analysis of the large retail establishments in Spain," Oxford Economic Papers, Oxford University Press, vol. 64(3), pages 539-562, July.

    Cited by:

    1. Alecos Papadopoulos & Christopher F. Parmeter, 2024. "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, vol. 61(2), pages 121-134, April.
    2. Pal, Debdatta & Mitra, Subrata K. & Chatterjee, Somdeep, 2022. "Does “investment climate” affect GDP? Panel data evidence using reduced-form and stochastic frontier analysis," Journal of Business Research, Elsevier, vol. 138(C), pages 301-310.
    3. David Fielding & Shef Rogers, 2014. "Monopoly Power in the Eighteenth Century British Book Trade:," Working Papers 1410, University of Otago, Department of Economics, revised Dec 2014.

  23. Jamasb, Tooraj & Orea, Luis & Pollitt, Michael, 2012. "Estimating the marginal cost of quality improvements: The case of the UK electricity distribution companies," Energy Economics, Elsevier, vol. 34(5), pages 1498-1506.
    See citations under working paper version above.
  24. Luis Orea, 2010. "The effect of legal barriers to entry in the Spanish retail market: a local market approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 193(2), pages 49-74, June.

    Cited by:

    1. Álvarez, Inmaculada C. & Orea, Luis & Perez-Mendez, Jose A., 2019. "Rural and agricultural development by land consolidation: a spatial production analysis of Asturias´ parishes," Efficiency Series Papers 2019/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

  25. Fernandez-Blanco, Victor & Orea, Luis & Prieto-Rodriguez, Juan, 2009. "Analyzing consumers heterogeneity and self-reported tastes: An approach consistent with the consumer's decision making process," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 622-633, August.

    Cited by:

    1. Ngwenya, Mthunzi A. & Paas, Leonard J., 2012. "Lifecycle effects on consumer financial product portfolios in South Africa: An exploratory analysis of four ethnic groups," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 8-18.
    2. Andrea Baldin & Trine Bille, 2018. "Modelling preference heterogeneity for theatre tickets: a discrete choice modelling approach on Royal Danish Theatre booking data," Applied Economics, Taylor & Francis Journals, vol. 50(5), pages 545-558, January.
    3. María Á. García-Valiñas & Roberto Martínez-Espiñeira & Marta Suárez-Varela Maciá, 2021. "Price and Consumption Misperception Profiles: The Role of Information in the Residential Water Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 821-857, December.
    4. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    5. Victor Fernandez-Blanco & Juan Prieto-Rodriguez & Javier Suarez-Pandiello, 2015. "A quantitative analysis of reading habits," ACEI Working Paper Series AWP-05-2015, Association for Cultural Economics International, revised May 2015.
    6. Karol Borowiecki & Juan Prieto-Rodriguez, 2015. "Video games playing: A substitute for cultural consumptions?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(3), pages 239-258, August.
    7. Sara Suarez-Fernandez & Maria Jose Perez-Villadoniga & Juan Prieto-Rodriguez, 2018. "Are We (Un)Consciously Driven by First Impressions? Price Declarations vs. Observed Cinema Demand when VAT Increases," ACEI Working Paper Series AWP-02-2018, Association for Cultural Economics International, revised Jul 2018.
    8. Marian Garcia-Valiñas & Fernando Arbués & Roberto Balado-Naves, 2023. "Assessing environmental profiles: An analysis of water consumption and waste recycling habits," Efficiency Series Papers 2023/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Sara Suarez-Fernandez & Juan Prieto-Rodriguez & Maria Jose Perez-Villadoniga, 2020. "The changing role of education as we move from popular to highbrow culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 189-212, June.
    10. Prieto-Rodriguez, Juan & Vecco, Marilena, 2021. "Reading between the lines in the art market: Lack of transparency and price heterogeneity as an indicator of multiple equilibria," Economic Modelling, Elsevier, vol. 102(C).
    11. Cristina Muñiz & Plácido Rodríguez & María José Suárez, 2017. "Participation in cultural activities: specification issues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 71-93, February.
    12. Elisabetta Lazzaro & Carlofilippo Frateschi, 2017. "Couples’ arts participation: assessing individual and joint time use," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 47-69, February.
    13. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.
    14. Manuel CUADRADO-GARCIA & Nela FILIMON & Juan D. MONTORO-PONS, 2018. "Picturing Spanish Filmgoers: Motives, Barriers And Film Theatres," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 45-60, July.
    15. Pérez, María & García-Valiñas, María A. & Martínez-Espiñeira, Roberto, 2013. "Responses to changes in domestic water tariff structures: An analysis on household-level data from Granada, Spain," Efficiency Series Papers 2013/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 113-139, May.
    17. Suarez-Fernandez, Sara & Perez-Villadoniga, Maria J. & Prieto-Rodriguez, Juan, 2022. "Price salience in opinion polls and observed behavior: The case of Spanish cinema," Economic Modelling, Elsevier, vol. 111(C).
    18. Gómez-Antonio, Miguel & del Moral Arce, Ignacio & Hortas-Rico, Miriam, 2022. "Are VAT reforms an effective tool for promoting culture? A quasi-experiment in Spain," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 1016-1040.
    19. Elisabetta Lazzaro & Carlofilippo Frateschi, 2015. "Couples' arts participation: assessing individual and joint time use," ULB Institutional Repository 2013/185658, ULB -- Universite Libre de Bruxelles.
    20. Pérez-Urdiales, María & Baerenklau, Kenneth A., 2019. "Learning to live within your (water) budget: Evidence from allocation-based rates," Resource and Energy Economics, Elsevier, vol. 57(C), pages 205-221.
    21. Victoria Ateca-Amestoy & Arantza Gorostiaga & Máximo Rossi, 2020. "Motivations and barriers to heritage engagement in Latin America: tangible and intangible dimensions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 397-423, September.
    22. Alexander Osharin & Valery Verbus, 2018. "Heterogeneity of consumer preferences and trade patterns in a monopolistically competitive setting," Journal of Economics, Springer, vol. 125(3), pages 211-237, November.
    23. Paul Dolan & Kate Laffan & Alina Velias, 2022. "Who’s miserable now? Identifying clusters of people with the lowest subjective wellbeing in the UK," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(4), pages 679-710, May.
    24. Victoria Ateca-Amestoy & Javier Gardeazabal & Arantza Ugidos, 2020. "On the response of household expenditure on cinema and performing arts to changes in indirect taxation: a natural experiment in Spain," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 213-253, June.
    25. Victor Fernandez-Blanco & Maria Jose Perez-Villadoniga & Juan Prieto-Rodriguez, 2016. "Looking into the Profile of Music Audiences," ACEI Working Paper Series AWP-08-2016, Association for Cultural Economics International, revised Jul 2016.
    26. Miguel Gómez-Antonio & Ignacio del Moral Arce & Miriam Hortas-Rico, 2022. "Are vat reforms an effective tool for promoting the consumption of culture? Evidence from a quasiexperiment in Spain," Working Papers. Collection A: Public economics, governance and decentralization 2203, Universidade de Vigo, GEN - Governance and Economics research Network.
    27. Oppewal, Harmen & Paas, Leonard J. & Crouch, Geoffrey I. & Huybers, Twan, 2010. "Segmenting consumers based on how they spend a tax rebate: An analysis of the Australian stimulus payment," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 510-519, August.

  26. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.

    Cited by:

    1. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    2. Carolina Crispin-Fory & Ligia Alba Melo-Becerra & Diego Alexander Restrepo-Tobón & Diego Vásquez-Escobar, 2023. "Eficiencia y solidez financiera de las Instituciones prestadoras de Servicio de Salud (IPS) en Colombia," Borradores de Economia 1248, Banco de la Republica de Colombia.
    3. Haider Alzubaidi & Spiros Bougheas, 2012. "The Impact of the Global Financial Crisis on European Banking Efficiency," Discussion Papers 12/05, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. Sun Ling Wang & Ryan Olver & Daniel Bonin, 2025. "Sustainable Crop Farm Productivity: Weather Effects, Technology Adoption, and Farm Management," Sustainability, MDPI, vol. 17(15), pages 1-19, July.
    5. Mosheim, Roberto & Sickles, Robin C., 2020. "Spatial Effects of Nutrient Pollution on Drinking Water Production," Working Papers 20-002, Rice University, Department of Economics.
    6. Wang, Sun Ling & Newton, Doris J., 2015. "Productivity and Efficiency of U.S. Field Crop Farms: A Look at Farm Size and Operator’s Gender," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205344, Agricultural and Applied Economics Association.
    7. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    8. Adwoa Asantewaa & Tooraj Jamasb & Manuel Llorca, 2022. "Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach," Energies, MDPI, vol. 15(6), pages 1-29, March.
    9. Zdeňka Žáková Kroupová & Gabriela Trnková & Monika Roman, 2022. "Is Market Power or Efficiency behind Economic Performance? The Case of the Czech Food Processing Industry," Economies, MDPI, vol. 10(9), pages 1-22, September.
    10. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2012. "Productivity and Subsidies in the European Union: An Analysis for Dairy Farms Using Input Distance Frontiers," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126846, International Association of Agricultural Economists.
    11. Rahman, Sanzidur & Barmon, Basanta K., 2012. "Energy productivity and efficiency of the ‘gher’ (prawn-fish-rice) farming system in Bangladesh," Energy, Elsevier, vol. 43(1), pages 293-300.
    12. Marchetti, Dalmo & Wanke, Peter F., 2019. "Efficiency in rail transport: Evaluation of the main drivers through meta-analysis with resampling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 83-100.
    13. Mehdi Shamohammadi, 2024. "Determining scale and scope economies in Korean private universities: an input distance function approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2583-2613, May.
    14. Sanzidur Rahman & Basanta Kumar Barmon, 2018. "Total Factor Energy Productivity and Efficiency Changes of the Gher (Prawn-Carp-Rice) Farming System in Bangladesh: A Stochastic Input Distance Function Approach," Energies, MDPI, vol. 11(12), pages 1-17, December.
    15. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2024. "Correction: Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 62(1), pages 119-119, August.
    16. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2011. "Productivity and Subsidies in European Union Countries: An Analysis for Dairy Farms Using Input Distance Frontiers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114396, European Association of Agricultural Economists.
    17. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    18. Régina D.C. Bonou-zin & Khalil Allali & Aziz Fadlaoui, 2019. "Environmental Efficiency of Organic and Conventional Cotton in Benin," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    19. Rahman, Sanzidur, "undated". "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36867, Agricultural Economics Society.
    20. Ogundari, Kolawole & Brümmer, Bernhard, 2010. "Estimating Technical Efficiency, Input substitution and complementary effects using Output Distance Function: A study of Cassava production in Nigeria," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95773, African Association of Agricultural Economists (AAAE).
    21. Nguyen, Huy, 2015. "Crop diversification, economic performance and household behaviour Evidence from Vietnam," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204224, Agricultural Economics Society.
    22. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
    23. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
    24. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    25. Rahman, Sanzidur & Kazal, Mohammad Mizanul Haque, 2015. "Whether crop diversification is energy efficient: An empirical analysis from Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 745-754.

  27. Antonio Alvarez & Carlos Arias & Luis Orea, 2006. "Explaining Differences in Milk Quota Values: The Role of Economic Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 182-193.
    See citations under working paper version above.
  28. Antonio Alvarez & Carlos Arias & Luis Orea, 2006. "Econometric testing of spatial productivity spillovers from public capital," Hacienda Pública Española / Review of Public Economics, IEF, vol. 178(3), pages 9-21, September.

    Cited by:

    1. Angel de la Fuente, 2015. "Infrastructures and Productivity: an Updated Survey," Working Papers 475, Barcelona School of Economics.
    2. Alvarez, Antonio & del Corral, Julio, 2006. "Modeling Regional Heterogeneity with Panel Data: Application to Spanish Provinces," Efficiency Series Papers 2006/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Miguel A Márquez & Julian Ramajo & Geoffrey Hewings, 2017. "Regional Public Stock Reductions in Spain: Estimations from a Multiregional Spatial Vector Autorregressive Model," REGION, European Regional Science Association, vol. 4, pages 129-146.
    4. Elburz, Zeynep & Nijkamp, Peter & Pels, Eric, 2017. "Public infrastructure and regional growth: Lessons from meta-analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 1-8.
    5. Yu, Nannan & de Jong, Martin & Storm, Servaas & Mi, Jianing, 2013. "Spatial spillover effects of transport infrastructure: evidence from Chinese regions," Journal of Transport Geography, Elsevier, vol. 28(C), pages 56-66.
    6. Miguel Márquez & Julián Ramajo & Geoffrey Hewings, 2010. "A spatio-temporal econometric model of regional growth in Spain," Journal of Geographical Systems, Springer, vol. 12(2), pages 207-226, June.
    7. Araujo, Jair Andrade & Souza, Helson Gomes de & Tabosa, Francisco José Silva, 2019. "Income elasticities and inequality of poverty in urban and rural areas of the Brazilian states: a spatial approach," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    8. Kwideok Han & Brian Whitacre & Inbae Ji, 2020. "Estimating the Impacts of EDA Public Works Program Investments on County Employment," Economic Development Quarterly, , vol. 34(3), pages 283-293, August.
    9. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    10. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "Network effects of public transport infrastructure: Evidence on Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 515-541, August.
    11. Marinos, Theocharis & Belegri-Roboli, Athena & Michaelides, Panayotis G. & Konstantakis, Konstantinos Ν., 2022. "The spatial spillover effect of transport infrastructures in the Greek economy (2000–2013): A panel data analysis," Research in Transportation Economics, Elsevier, vol. 94(C).
    12. Roibás, David & Baños, José, 2010. "The Impact of Infraestructures in Provincial Production: Assesing its Dynamic Impact," Efficiency Series Papers 2010/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Andrés-Rosales, Roldán & Quintana-Romero, Luis & de Jesús-Almonte, Leobardo & del Río-Rama, María de la Cruz, 2021. "Spatial spillovers of economic growth and public spending in Mexico: Evidence from a SpVAR model, 1999–2019," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 660-673.
    14. Pelayo Arbués & Matias Mayor & José Ba-os, 2014. "Productivity and accessibility of road transportation infrastructure in Spain: a spatial econometric approach," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 9, pages 177-194, Edward Elgar Publishing.

  29. 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, June.
    See citations under working paper version above.
  30. Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
    See citations under working paper version above.
  31. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.

    Cited by:

    1. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(01), pages 1-25, April.
    2. Carlos Pestana Barros & António Gomes Menezes & José António Cabral Vieira, 2011. "Measurement of Hospital Efficiency, Using a Latent Class Stochastic Frontier Model," Post-Print hal-00732115, HAL.
    3. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    4. Bahta, S. & Temoso, O. & Mekonnen, D. & Malope, P. & Staal, S., 2018. "Technical efficiency of beef production in agricultural districts of Botswana: A Latent Class Stochastic Frontier Model Approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277207, International Association of Agricultural Economists.
    5. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    6. Álvarez, Antonio & Arias, Carlos, 2013. "Are dairy farms becoming more intensive? Impact on farm efficiency," Efficiency Series Papers 2013/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Sauer, J. & Morrison-Paul, C., . "Technologies and Localized Technical Change," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46.
    8. Lisa Just, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    9. Christian Grovermann & Sylvain Quiédeville & Adrian Muller & Florian Leiber & Matthias Stolze & Simon Moakes, 2021. "Does organic certification make economic sense for dairy farmers in Europe?–A latent class counterfactual analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 1001-1012, November.
    10. John Goddard & Phil Molyneux & Jonathan Williams, 2013. "Dealing with Cross-Firm Heterogeneity in Bank Efficiency Estimates: Some evidence from Latin America," Working Papers 13011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    11. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
    12. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    13. Veronika Fenyves & Tibor Tarnóczi & Zoltán Bács & Dóra Kerezsi & Péter Bajnai & Mihály Szoboszlai, 2022. "Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 413-426.
    14. Graziano Abrate & Fabrizio Erbetta & Giovanni Fraquelli, 2011. "Public utility planning and cost efficiency in a decentralized regulation context: the case of the Italian integrated water service," Journal of Productivity Analysis, Springer, vol. 35(3), pages 227-242, June.
    15. J. Wesley Burnett & Jessica Madariaga, 2018. "A Top-Down Economic Efficiency Analysis of U.S. HouseholdEnergy Consumption," The Energy Journal, , vol. 39(4), pages 1-30, July.
    16. Koetter, Michael & Wedow, Michael, 2006. "Finance and growth in a bank-based economy: is it quantity or quality that matters?," Discussion Paper Series 2: Banking and Financial Studies 2006,02, Deutsche Bundesbank.
    17. T Agasisti & G Johnes, 2009. "Cost Structure, Efficiency and Heterogeneity in US Higher Education: An Empirical Analysis," Working Papers 599308, Lancaster University Management School, Economics Department.
    18. AGRELL, Per & FARSI, Mehdi & FILIPPINI, Massimo & KOLLER, Martin, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," LIDAM Discussion Papers CORE 2013003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Carlos Pestana Barros & Peter U.C. Dieke & Carlos M. Santos, 2010. "Heterogeneous Technical Efficiency of Hotels in Luanda, Angola," Tourism Economics, , vol. 16(1), pages 137-151, March.
    20. Ruben Dewitte & Michel Dumont & Glenn Rayp & Peter Willemé, 2022. "Unobserved heterogeneity in the productivity distribution and gains from trade," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(3), pages 1566-1597, August.
    21. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    22. Abid, Anis Bou & Drine, Imed, 2011. "Efficiency frontier and matching process on the labour market: Evidence from Tunisia," Economic Modelling, Elsevier, vol. 28(3), pages 1131-1139, May.
    23. Barros, Carlos Pestana & Ferreira, Candida & Williams, Jonathan, 2007. "Analysing the determinants of performance of best and worst European banks: A mixed logit approach," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2189-2203, July.
    24. Klaus Friesenbichler & Agnes Kügler, 2017. "Statistical Benchmarking as a Development Tool. An Introduction for Practitioners," WIFO Studies, WIFO, number 59303, January.
    25. Mohamed Chaffai & Patrick Plane, 2017. "Firm Productivity, Technology and Export Status, What Can We Learn from Egyptian Industries?," Working Papers 1134, Economic Research Forum, revised 09 Jun 2017.
    26. Subal Kumbhakar & Efthymios Tsionas, "undated". "Does Deregulation Change Economic Behavior of Firms?," Working Papers 0303, University of Crete, Department of Economics.
    27. Qianying Jin & Kristiaan Kerstens & Ignace van de Woestyne, 2020. "Metafrontier productivity indices: Questioning the common convexification strategy," Post-Print hal-02496997, HAL.
    28. Mohamed Chaffai & M. Kabir Hassan, 2019. "Technology Gap and Managerial Efficiency: A Comparison between Islamic and Conventional Banks in MENA," Journal of Productivity Analysis, Springer, vol. 51(1), pages 39-53, February.
    29. Llorca, Manuel & Baños, José & Somoza, José & Arbués, Pelayo, 2014. "A latent class approach for estimating energy demands and efficiency in transport: An application to Latin America and the Caribbean," Efficiency Series Papers 2014/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    30. Philippe K. Widmer & Peter Zweifel & Mehdi Farsi, 2011. "Accounting for heterogeneity in the measurement of hospital performance," ECON - Working Papers 052, Department of Economics - University of Zurich.
    31. Maria Rosa Borges & Milton Nektarios & Carlos Pestana Barros, 2008. "Analysing The Efficiency Of The Greek Life Insurance Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 35-52.
    32. Daniel Attah-Kyei & Charles Andoh & Saint Kuttu, 2023. "Risk, technical efficiency and capital requirements of Ghanaian insurers," Risk Management, Palgrave Macmillan, vol. 25(4), pages 1-27, December.
    33. Vladimír Kostlivý & Zuzana Fuksová & Tamara Rudinskaya, 2020. "Drivers of farm performance in Czech crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(7), pages 297-306.
    34. Landry, Craig & Remar, Daniel & Twinkle, Roy, 2022. "Economic Value of Restaurant Safety Measures and Propensity to Dine during the COVID-19 Pandemic," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322234, Agricultural and Applied Economics Association.
    35. Graziano Abrate & Fabrizio Erbetta & Giovanni Fraquelli & Davide Vannoni, 2012. "The Costs of Corruption in the Italian Solid Waste Industry," Working papers 004, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    36. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    37. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Lau, Sim-Yee, 2017. "Have regulatory reforms improved the efficiency levels of the Japanese electricity distribution sector? A cost metafrontier-based analysis," Energy Policy, Elsevier, vol. 108(C), pages 606-616.
    38. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    39. Stefano Mainardi, 2021. "Correction to: Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 211-211, June.
    40. Laure Latruffe & Andreas Niedermayr & Yann Desjeux & K Herve Dakpo & Kassoum Ayouba & Lena Schaller & Jochen Kantelhardt & Yan Jin & Kevin Kilcline & Mary Ryan & Cathal O’Donoghue, 2023. "Identifying and assessing intensive and extensive technologies in European dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1482-1519.
    41. Walter, Matthias & Cullmann, Astrid & von Hirschhausen, Christian & Wand, Robert & Zschille, Michael, 2009. "Quo vadis efficiency analysis of water distribution? A comparative literature review," Utilities Policy, Elsevier, vol. 17(3-4), pages 225-232, September.
    42. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    43. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 422-438, May.
    44. Lu, Zeng-Hua, 2009. "Covariate selection in mixture models with the censored response variable," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2710-2723, May.
    45. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2009. "Efficiency decompositions for heterogeneous technologies," European Journal of Operational Research, Elsevier, vol. 199(1), pages 209-218, November.
    46. Williams, Jonathan, 2012. "Efficiency and market power in Latin American banking," Journal of Financial Stability, Elsevier, vol. 8(4), pages 263-276.
    47. Sille, AG & Salvioni, C. & Benedetti, R., 2015. "Spatial Heterogeneity in Production Functions Models," 2015 Conference, August 9-14, 2015, Milan, Italy 211343, International Association of Agricultural Economists.
    48. Zschille, Michael & Walter, Matthias & von Hirschhausen, Christian, 2010. "Ineffizienz und Strukturunterschiede in der deutschen Wasserversorgung," ZögU - Zeitschrift für öffentliche und gemeinwirtschaftliche Unternehmen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 33(3), pages 201-216.
    49. Amer Ait Sidhoum & K. Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," Post-Print hal-03675565, HAL.
    50. Martinez Cillero, Maria & Breen, James & Thorne, Fiona & Wallace, Michael & Hennessy, Thia, 2016. "Technical efficiency and technology heterogeneity of beef farms: a latent class stochastic frontier approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236351, Agricultural Economics Society.
    51. Nieswand, Maria & Walter, Matthias, 2013. "Cost Efficiency and Subsidization in German Local Public Bus Transit," CEPR Discussion Papers 9346, C.E.P.R. Discussion Papers.
    52. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
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    6. Supawat Rungsuriyawiboon & Xiaobing Wang, 2009. "Agricultural productivity growth in traditional and transitional economies in Asia," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 23(2), pages 52-72, November.
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    3. Elisa Fusco & Bernardo Maggi, 2016. "Bank Financial world crisis: Inefficiencies and Responsibilities," DSS Empirical Economics and Econometrics Working Papers Series 2016/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    4. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
    5. Rangkakulnuwat, Poomthan & Wang, H. Holly, 2011. "Productivity growth decomposition with FE-IV approach: Rethinking Thai commercial banks after the financial crisis," Economic Modelling, Elsevier, vol. 28(6), pages 2579-2588.
    6. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    7. Elisa Fusco & Bernardo Maggi, 2022. "Computing nonperforming loan prices in banking efficiency analysis," Computational Management Science, Springer, vol. 19(1), pages 1-23, January.
    8. Olena Havrylchyk, 2004. "Consolidation of the Polish banking sector: consequences for the banking institutions and the public," Post-Print hal-03202005, HAL.
    9. Galán Camacho, Jorge Eduardo & Lopes Moreira da Veiga, María Helena & Wiper, Michael Peter, 2013. "Bayesian analysis of dynamic effects in inefficiency : evidence from the Colombian banking sector," DES - Working Papers. Statistics and Econometrics. WS ws131918, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Coccorese, Paolo & Ferri, Giovanni, 2020. "Are mergers among cooperative banks worth a dime? Evidence on efficiency effects of M&As in Italy," Economic Modelling, Elsevier, vol. 84(C), pages 147-164.
    11. M. Epure & K. Kerstens & D. Prior, 2011. "Bank Productivity and Performance Groups: A Decomposition Approach Based upon the Luenberger Productivity Indicator," Post-Print hal-00570234, HAL.
    12. Sarmiento, Miguel & Galán, Jorge E., 2014. "Heterogeneous effects of risk-taking on bank efficiency : a stochastic frontier model with random coefficients," DES - Working Papers. Statistics and Econometrics. WS ws142013, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Nitin Kumar & Rudra Sensarma, 2017. "Efficiency of Microfinance Institutions in India: A Stochastic Distance Function Approach," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(2), pages 151-168, August.
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    21. Han, Chirok & Orea, Luis & Schmidt, Peter, 2005. "Estimation of a panel data model with parametric temporal variation in individual effects," Journal of Econometrics, Elsevier, vol. 126(2), pages 241-267, June.
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    26. Heid, Frank & Behr, Andreas, 2008. "The success of bank mergers revisited: an assessment based on a matching strategy," Discussion Paper Series 2: Banking and Financial Studies 2008,06, Deutsche Bundesbank.
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    30. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    31. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2008. "Benchmarking and Total Factor Productivity: A Luenberger Decomposition within the Banking Sector," Efficiency Series Papers 2008/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    32. Carlos E. Cuevas & Klaus P. Fischer, 2006. "Cooperative Financial Institutions : Issues in Governance, Regulation, and Supervision," World Bank Publications - Books, The World Bank Group, number 7107, April.
    33. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
    34. Kozo Harimaya & Kei Tomimura & Nobuyoshi Yamori, 2015. "Efficiencies of Small Financial Cooperatives in Japan: Comparison of Estimation Methods," Discussion Paper Series DP2015-04, Research Institute for Economics & Business Administration, Kobe University.
    35. 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, June.
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    43. Dean Amel & Colleen Barnes & Fabio Panetta & Carmelo Salleo, 2002. "Consolidation and efficiency in the financial sector: a review of the international evidence," Temi di discussione (Economic working papers) 464, Bank of Italy, Economic Research and International Relations Area.
    44. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
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    52. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    53. Grifell-Tatjé, E., 2011. "Profit, productivity and distribution: Differences across organizational forms - The case of Spanish banks," Socio-Economic Planning Sciences, Elsevier, vol. 45(2), pages 72-83, June.
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    55. Leire San-Jose & Jose Luis Retolaza & Eric Lamarque, 2018. "The Social Efficiency for Sustainability: European Cooperative Banking Analysis," Post-Print hal-02536203, HAL.
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    67. Susaeta, Andres & Sancewich, Brian & Klizentyte, Kotryna & Soto, Jose & Joshi, Omkar, 2024. "Profit efficiency in the provision of ecosystem services in the Cross Timbers forests," Land Use Policy, Elsevier, vol. 136(C).

Chapters

  1. Luis Orea & Inmaculada C. Álvarez, 2022. "Production Economics in Spatial Analysis," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 35, pages 1379-1409, Springer.

    Cited by:

    1. Julián Ramajo & Miguel A. Márquez & Geoffrey J. D. Hewings, 2024. "Addressing spatial dependence when estimating technical efficiency: A spatialized data envelopment analysis of regional productive performance in the European Union," Growth and Change, Wiley Blackwell, vol. 55(1), March.

  2. Luis Orea & Alan Wall, 2016. "Measuring Eco-efficiency Using the Stochastic Frontier Analysis Approach," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 275-297, Springer.

    Cited by:

    1. Clara Inés Pardo Martínez & Alexander Cotte Poveda, 2022. "The effects of environmental performance on competitiveness and innovation: a stochastic frontier approach for Colombia," Environment Systems and Decisions, Springer, vol. 42(1), pages 51-62, March.
    2. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    3. Kazi Arif Uz Zaman, 2022. "Regional Cooperation for Improving Agriculture Production Efficiency: A Strategic Tool for Emission Reduction," ADBI Working Papers 1301, Asian Development Bank Institute.
    4. Li Xie & Chunlin Chen & Yihua Yu, 2019. "Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    5. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    6. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    7. Svetlana Ratner & Andrey Lychev & Aleksei Rozhnov & Igor Lobanov, 2021. "Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 9(18), pages 1-21, September.

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