IDEAS home Printed from https://ideas.repec.org/r/eee/econom/v24y1984i3p349-361.html
   My bibliography  Save this item

Simple tests of alternative specifications in stochastic frontier models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Michael Fritsch & Viktor Slavtchev, 2007. "What determines the efficiency of regional innovation systems?," Jena Economic Research Papers 2007-006, Friedrich-Schiller-University Jena.
  2. Lin, Winston T. & Chen, Yueh H. & Shao, Benjamin B.M., 2015. "Assessing the business values of information technology and e-commerce independently and jointly," European Journal of Operational Research, Elsevier, vol. 245(3), pages 815-827.
  3. Delorme, Charles Jr. & Thompson, Herbert Jr. & Warren, Ronald Jr., 1999. "Public Infrastructure and Private Productivity: A Stochastic-Frontier Approach," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 563-576, July.
  4. Oleg Badunenko & Michael Fritsch & Andreas Stephan, 2006. "What Determines the Technical Efficiency of a Firm? The Importance of Industry, Location, and Size," Jenaer Schriften zur Wirtschaftswissenschaft (Expired!) 33/2006, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  5. 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.
  6. Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907.
  7. Zelek, Charles & Shively, Gerald E., 2001. "Technical Change, Factor Bias, And Input Adjustments: Panel Data Evidence From The Philippines," 2001 Annual meeting, August 5-8, Chicago, IL 20651, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  8. Alecos Papadopoulos, 2015. "The half-normal specification for the two-tier stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 225-230, April.
  9. Charnes, Abraham & Gallegos, Armando & Li, Hongyu, 1996. "Robustly efficient parametric frontiers via Multiplicative DEA for domestic and international operations of the Latin American airline industry," European Journal of Operational Research, Elsevier, vol. 88(3), pages 525-536, February.
  10. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012. "When, where and how to perform efficiency estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(4), pages 863-892, October.
  11. Xu Guo & Gao-Rong Li & Wing-Keung Wong & Michael McAleer, 2017. "Specification Testing of Production in a Stochastic Frontier Model," Documentos de Trabajo del ICAE 2017-23, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  12. Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.
  13. Daniel Solís & Larry Perruso & Julio del Corral & Brent Stoffle & David Letson, 2013. "Measuring the initial economic effects of hurricanes on commercial fish production: the US Gulf of Mexico grouper (Serranidae) fishery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 271-289, March.
  14. Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, vol. 16(3), pages 313-327, June.
  15. 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.
  16. Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "Sectoral linkages and industrial efficiency: a dilemma or a requisition in identifying development priorities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 207-233, August.
  17. 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.
  18. Millan, Joaquin, 2004. "Scale and the Efficiency Production Function," Efficiency Series Papers 2004/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  19. James Kirkley & Dale Squires & Ivar Strand, 1998. "Characterizing Managerial Skill and Technical Efficiency in a Fishery," Journal of Productivity Analysis, Springer, vol. 9(2), pages 145-160, March.
  20. Thaís C.O. da Fonseca, 2005. "Fronteira de Produção Estocástica: Uma Abordagem Bayesiana," Discussion Papers 1073, Instituto de Pesquisa Econômica Aplicada - IPEA.
  21. repec:eee:eneeco:v:65:y:2017:i:c:p:283-291 is not listed on IDEAS
  22. 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.
  23. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 32(1), pages 51-74, March.
  24. Shively, Gerald & Zelek, Charles, 2004. "Technical Change, Factor Bias and Input Adjustments: Panel Data Evidence from Irrigated Rice Production in Southern Palawan, Philippines," Philippine Journal of Development PJD 2003 Vol. XXX No. 1-d, Philippine Institute for Development Studies.
  25. Bazen, Stephen & Waziri, Khalid Maman, 2017. "The Assimilation of Young Workers into the Labour Market in France: A Stochastic Earnings Frontier Approach," IZA Discussion Papers 10841, Institute for the Study of Labor (IZA).
  26. Polachek, Solomon & Xiang, Jun, 2005. "The Effects of Incomplete Employee Wage Information: A Cross-Country Analysis," IZA Discussion Papers 1735, Institute for the Study of Labor (IZA).
  27. Beatriz Gonzalez Lopez-Valcarcel & Patricia Barber Perez, 1996. "Changes in the efficiency of spanish public hospitals after the introduction of program-contracts," Investigaciones Economicas, Fundación SEPI, vol. 20(3), pages 377-402, September.
  28. Bhattacharyya, Arunava & Harris, Thomas R. & Narayanan, Rangesan & Raffiee, Kambiz, 1995. "Specification and estimation of the effect of ownership on the economic efficiency of the water utilities," Regional Science and Urban Economics, Elsevier, vol. 25(6), pages 759-784, December.
  29. Larson, Donald F. & Sarris, Alexander, 2009. "The performance of Bulgarian food markets during reform," Policy Research Working Paper Series 4876, The World Bank.
  30. Larson, Donald F. & Plessmann, Frank, 2009. "Do farmers choose to be inefficient? Evidence from Bicol," Journal of Development Economics, Elsevier, vol. 90(1), pages 24-32, September.
  31. Wang, Hung-Jen, 2006. "Stochastic frontier models," MPRA Paper 31079, University Library of Munich, Germany.
  32. Mazumder, Ritwik & Gupta, Manik, 2013. "Technical Efficiency And Its Determinants In Backward Agriculture: The Case Of Paddy Farmers Of Hailakandi District Of Assam," Journal of Regional Development and Planning, JRDP, vol. 2(1), pages 35-53.
  33. Johns, Benjamin & Probandari, Ari & Mahendradhata, Yodi & Ahmad, Riris Andono, 2009. "An analysis of the costs and treatment success of collaborative arrangements among public and private providers for tuberculosis control in Indonesia," Health Policy, Elsevier, vol. 93(2-3), pages 214-224, December.
  34. Kim Rose Olsen & Andrew Street, 2008. "The analysis of efficiency among a small number of organisations: How inferences can be improved by exploiting patient-level data," Health Economics, John Wiley & Sons, Ltd., vol. 17(6), pages 671-681.
IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.