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Estimation of Technical Inefficiencies with Heterogeneous Technologies

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  1. Kamel Helali & Maha Kalai, 2015. "Technical Efficiency Determinants Of The Tunisian Manufacturing Industry: Stochastic Production Frontiers Estimates On Panel Data," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(2), pages 105-130, June.
  2. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
  3. 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," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
  4. Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
  5. 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.
  6. 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.
  7. Philippe K Widmer & Peter Zweifel & Mehdi Farsi, 2010. "Accounting For Heterogeneity In The Measurement of Hospital Performance," Economics Discussion / Working Papers 10-21, The University of Western Australia, Department of Economics.
  8. Jin Yang & Hui Wang & Songqing Jin & Kevin Chen & Jeffrey Riedinger & Chao Peng, 2016. "Migration, local off-farm employment, and agricultural production efficiency: evidence from China," Journal of Productivity Analysis, Springer, vol. 45(3), pages 247-259, June.
  9. Fatima Lambarraa & Spiro Stefanou & José M. Gil, 2016. "The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in the Spanish olive sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(1), pages 59-77.
  10. Drine, Imed & Nabi, M. Sami, 2010. "Public external debt, informality and production efficiency in developing countries," Economic Modelling, Elsevier, vol. 27(2), pages 487-495, March.
  11. 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.
  12. 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.
  13. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, . "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 0.
  14. Peter Zweifel & Philippe K. Widmer, 2023. "Accounting for heterogeneity in the measurement of hospital performance," Applied Economics, Taylor & Francis Journals, vol. 55(57), pages 6701-6716, December.
  15. Oum, Tae H. & Yan, Jia & Yu, Chunyan, 2008. "Ownership forms matter for airport efficiency: A stochastic frontier investigation of worldwide airports," Journal of Urban Economics, Elsevier, vol. 64(2), pages 422-435, September.
  16. Anup Kumar Bhandari & Pradip Maiti, 2007. "Efficiency of Indian Manufacturing Firms: Textile Industry as a Case Study," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 71-88, April.
  17. Sauer, J. & Morrison-Paul, C., 2011. "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, March.
  18. Lambarraa, Fatima, 2011. "Dynamic Efficiency Analysis of Spanish Outdoor and Greenhouse Horticulture Sector," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114408, European Association of Agricultural Economists.
  19. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
  20. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
  21. Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
  22. repec:cte:wsrepe:ws121007 is not listed on IDEAS
  23. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
  24. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
  25. Aparicio, Juan & Pastor, Jesús T. & Vidal, Fernando & Zofío, José L., 2017. "Evaluating productive performance: A new approach based on the product-mix problem consistent with Data Envelopment Analysis," Omega, Elsevier, vol. 67(C), pages 134-144.
  26. Antonio Arbelo & Marta Arbelo-Pérez & Pilar Pérez-Gómez, 2022. "Are SMEs less efficient? A Bayesian approach to addressing heterogeneity across firms," Small Business Economics, Springer, vol. 58(4), pages 1915-1929, April.
  27. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
  28. Baráth, Lajos & Fertő, Imre & Hockmann, Heinrich, 2020. "Technological differences, theoretical consistency, and technical efficiency: The case of Hungarian crop-producing farms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(3), pages 1-17.
  29. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
  30. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
  31. Lambarraa, Fatima, 2012. "The Spanish Horticulture Sector: A dynamic efficiency analysis of Outdoor and Greenhouse farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126797, International Association of Agricultural Economists.
  32. Hailu, Getu & Goddard, Ellen W. & Jeffrey, Scott R., 2005. "Measuring Efficiency in Fruit and Vegetable Marketing Co-operatives with Heterogeneous Technologies in Canada," 2005 Annual meeting, July 24-27, Providence, RI 19507, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  33. Jerzy Marzec & Andrzej Pisulewski, 2020. "Pomiar efektywności zróżnicowanych technologicznie gospodarstw rolnych w Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 111-137.
  34. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.
  35. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.
  36. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
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