Are all firms inefficient?
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DOI: 10.1007/s11123-013-0374-7
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Citations
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Cited by:
- Centorrino, Samuele & Pérez-Urdiales, María, 2023.
"Maximum likelihood estimation of stochastic frontier models with endogeneity,"
Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
- 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.
- Centorrino, Samuele & Perez Urdiales, Maria, 2021. "Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312072, Agricultural Economics Society - AES.
- Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
- Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019.
"Model averaging estimators for the stochastic frontier model,"
Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
- 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.
- Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
- 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.
- 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.
- Orea, Luis & Steinbuks, Jevgenijs, 2012. "Estimating Market Power in Homogenous Product Markets Using a Composed Error Model: Application to the California Electricity Market," Efficiency Series Papers 2012/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- 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.
- Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
- 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.
- 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.
- Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
- Marcos Gonçalves Perroni & Claudimar Pereira da Veiga & Zhaohui Su & Fernando Maciel Ramos & Wesley Vieira da Silva, 2023. "Dynamic Equilibrium of Sustainable Ecosystem Variables: An Experiment," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
- Yao, Feng & Wang, Taining & Tian, Jinjing & Kumbhakar, Subal C., 2018. "Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach," Economics Letters, Elsevier, vol. 166(C), pages 25-30.
- 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.
- Samuele Centorrino & María Pérez‐Urdiales & Boris Bravo‐Ureta & Alan Wall, 2024.
"Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 365-382, April.
- Centorrino, Samuele & Perez Urdiales, Maria & Bravo-Ureta, Boris & Wall, Alan, 2021. "Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312058, Agricultural Economics Society - AES.
- 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).
- Samuele Centorrino & Maria P'erez-Urdiales & Boris Bravo-Ureta & Alan J. Wall, 2023. "Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador," Papers 2312.13939, arXiv.org.
- Tran, Kien C. & Tsionas, Mike G., 2016. "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors," Economics Letters, Elsevier, vol. 147(C), pages 19-22.
- Luis Orea & Tooraj Jamasb, 2017.
"Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks,"
The Energy Journal, , vol. 38(4), pages 101-127, July.
- 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).
- Tran, Kien C. & Tsionas, Mike G., 2016. "Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1113-1123.
- Mark Andor & Christopher Parmeter, 2017.
"Pseudolikelihood estimation of the stochastic frontier model,"
Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
- Andor, Mark & Parmeter, Christopher, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Ruhr Economic Papers 693, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
- Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
- Papadopoulos, Alecos & Parmeter, Christopher F., 2023. "A specification test for the composed error term in the stochastic frontier model," Economics Letters, Elsevier, vol. 233(C).
- Kien C. Tran & Mike G. Tsionas & Emmanuel Mamatzakis, 2020. "Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks," Empirical Economics, Springer, vol. 58(6), pages 2733-2760, June.
- Monje, Juan Cabas & Sidhoum, Amer Ait & Gil, Jose M., 2021. "Investigating Technical Efficiency of Spanish Pig Farming: A Quantile Regression Approach," 2021 Conference, August 17-31, 2021, Virtual 315196, International Association of Agricultural Economists.
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More about this item
Keywords
Stochastic frontier model; Finite mixture model; Latent class model; Technical inefficiency; C10; C46; C52;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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