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Estimating Production Uncertainty in Stochastic Frontier Production Function Models

Citations

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Cited by:

  1. Margono, Heru & Sharma, Subhash C., 2006. "Efficiency and productivity analyses of Indonesian manufacturing industries," Journal of Asian Economics, Elsevier, vol. 17(6), pages 979-995, December.
  2. William Horrace, 2015. "Moments of the truncated normal distribution," Journal of Productivity Analysis, Springer, vol. 43(2), pages 133-138, April.
  3. 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.
  4. Efecan, Volkan & Temiz, İzzettin, 2023. "Assessing the technical efficiency of container ports based on a non-monotonic inefficiency effects model," Utilities Policy, Elsevier, vol. 81(C).
  5. Chand, Narendra & Kerr, Geoffrey N. & Bigsby, Hugh R., 2010. "Why some community forests are performing better than others: a case of forest user groups in Nepal," 2010 Conference, August 26-27, 2010, Nelson, New Zealand 96827, New Zealand Agricultural and Resource Economics Society.
  6. N'cho, Simon Akahoua & Mourits, Monique & Demont, Matty & Adegbola, Patrice Y. & Lansink, Alfons Oude, . "Impact of infestation by parasitic weeds on rice farmers’ productivity and technical efficiency in sub-Saharan Africa," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(01).
  7. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
  8. Debdas Bandyopadhyay & Arabinda Das, 2006. "On measures of technical inefficiency and production uncertainty in stochastic frontier production model with correlated error components," Journal of Productivity Analysis, Springer, vol. 26(2), pages 165-180, October.
  9. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
  10. Sergei Aivazian & Mikhail Afanasiev & Alexander Kudrov, 2016. "Clustering methodology of the Russian Federation regions with account of sectoral structure of GRP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 24-46.
  11. Surender Kumar & Madhu Khanna, 2019. "Temperature and production efficiency growth: empirical evidence," Climatic Change, Springer, vol. 156(1), pages 209-229, September.
  12. Fousekis, Panos & Spathis, Pavlos & Tsimboukas, Konstantinos, 2001. "Assessing the Efficiency of Sheep Farming in Mountainous Areas of Greece. A Non Parametric Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 2(2), pages 1-11, August.
  13. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
  14. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
  15. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
  16. Joseph B. Lang, 2025. "Selection-bias-adjusted inference for the bivariate normal distribution under soft-threshold sampling," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(4), pages 597-625, August.
  17. 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.
  18. Amit Nandan & Hrushikesh Mallick, 2021. "Does regulation induce cost efficiency in electricity distribution utilities? Use of stochastic cost frontier analysis for the Indian states," Competition and Regulation in Network Industries, , vol. 22(2), pages 127-159, June.
  19. Mäkinen, Mikko, 2007. "Do Stock Opiton Schemes Affect Technical Inefficiency? Evidence from Finland," Discussion Papers 1085, The Research Institute of the Finnish Economy.
  20. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
  21. Maria Martinez Cillero & Michael Wallace & Fiona Thorne & James Breen, 2021. "Analyzing the Impact of Subsidies on Beef Production Efficiency in Selected European Union Countries. A Stochastic Metafrontier Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1903-1923, October.
  22. Zangin Zeebari & Kristofer Månsson & Pär Sjölander & Magnus Söderberg, 2023. "Regularized conditional estimators of unit inefficiency in stochastic frontier analysis, with application to electricity distribution market," Journal of Productivity Analysis, Springer, vol. 59(1), pages 79-97, February.
  23. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
  24. Getu Hailu & B. James Deaton, 2016. "Agglomeration Effects in Ontario’s Dairy Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1055-1073.
  25. Subhash C. Sharma & Anil K. Bera, 2021. "Estimation of Random Components and Prediction in One and Two-Way Error Component Regression Models," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 419-441, December.
  26. Zhai Jian & James Robert & Prokhorov Artem, 2022. "Technical and allocative inefficiency in production systems: a vine copula approach," Dependence Modeling, De Gruyter, vol. 10(1), pages 145-158, January.
  27. Chand, Narendra & Kerr, Geoffrey N. & Bigsby, Hugh, 2015. "Production efficiency of community forest management in Nepal," Forest Policy and Economics, Elsevier, vol. 50(C), pages 172-179.
  28. 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.
  29. Mussa, Richard, 2014. "Externalities of Education on Efficiency and Production Uncertainty of Maize in Rural Malawi," MPRA Paper 54628, University Library of Munich, Germany.
  30. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.
  31. William Horrace & Seth Richards-Shubik, 2012. "A Monte Carlo study of ranked efficiency estimates from frontier models," Journal of Productivity Analysis, Springer, vol. 38(2), pages 155-165, October.
  32. Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007. "Identifying technically efficient fishing vessels: a non-empty, minimal subset approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
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