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Citations for "A Monte Carlo study of estimators of stochastic frontier production functions"

by Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M.

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  1. 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).
  2. De Borger, Bruno & Kerstens, Kristiaan, 1996. "Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches," Regional Science and Urban Economics, Elsevier, vol. 26(2), pages 145-170, April.
  3. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2003. "Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 153-161.
  4. Ondrich, Jan & Ruggiero, John, 2001. "Efficiency measurement in the stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 129(2), pages 434-442, March.
  5. Bifulco, Robert & Bretschneider, Stuart, 2001. "Estimating school efficiency: A comparison of methods using simulated data," Economics of Education Review, Elsevier, vol. 20(5), pages 417-429, October.
  6. Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
  7. Bojani, Antonio N. & Caudill, Steven B. & Ford, Jon M., 1998. "Small-sample properties of ML, COLS, and DEA estimators of frontier models in the presence of heteroscedasticity," European Journal of Operational Research, Elsevier, vol. 108(1), pages 140-148, July.
  8. 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).
  9. Carree, Martin A., 2002. "Technological inefficiency and the skewness of the error component in stochastic frontier analysis," Economics Letters, Elsevier, vol. 77(1), pages 101-107, September.
  10. Beccalli, Elena, 2004. "Cross-country comparisons of efficiency: Evidence from the UK and Italian investment firms," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1363-1383, June.
  11. 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.
  12. William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
  13. Martin A. Carree, 2002. "Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis," Tinbergen Institute Discussion Papers 02-012/2, Tinbergen Institute.
  14. Li, Qi, 1996. "Estimating a stochastic production frontier when the adjusted error is symmetric," Economics Letters, Elsevier, vol. 52(3), pages 221-228, September.
  15. Marc Baudry, 2005. "Les impôts locaux sont-ils gaspillés ?," Recherches économiques de Louvain, De Boeck Université, vol. 71(2), pages 143-173.
  16. Andor, Mark & Hesse, Frederik, 2012. "The StoNED age: The departure into a new era of efficiency analysis? An MC study comparing StoNED and the "oldies" (SFA and DEA)," CAWM Discussion Papers 60, Center of Applied Economic Research Münster (CAWM), University of Münster.
  17. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA.
  18. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
  19. Chang, Hung-Hao & Boisvert, Richard N., 2009. "The Conservation Reserve Program, Off-Farm Work, and Farm Household Technical Efficiencies," Working Papers 57034, Cornell University, Department of Applied Economics and Management.
  20. Keshari, Pradeep K & Paul, Thomas M, 1994. "Relative efficiency of foreign and domestic Banks," MPRA Paper 47072, University Library of Munich, Germany.
  21. Banker, Rajiv D. & Chang, Hsihui & Cooper, William W., 2004. "A simulation study of DEA and parametric frontier models in the presence of heteroscedasticity," European Journal of Operational Research, Elsevier, vol. 153(3), pages 624-640, March.
  22. Kumbhakar, Subal C. & Löthgren, Mickael, 1998. "A Monte Carlo Analysis of Technical Inefficiency Predictors," SSE/EFI Working Paper Series in Economics and Finance 229, Stockholm School of Economics.
  23. Kulasekaran, Sivakumar & Shaffer, Sherrill, 2002. "Cost efficiency among credit card banks," Journal of Economics and Business, Elsevier, vol. 54(6), pages 595-614.
  24. Behr, Andreas & Tente, Sebastian, 2008. "Stochastic frontier analysis by means of maximum likelihood and the method of moments," Discussion Paper Series 2: Banking and Financial Studies 2008,19, Deutsche Bundesbank, Research Centre.
  25. Boisvert, Richard N. & Chang, Hung-Hao, 2005. "Explaining Participation in the Conservation Reserve Program and its Effects on Farm Productivity and Efficiency," 2005 Annual meeting, July 24-27, Providence, RI 19321, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  26. Yu-Ying Lin, Eugene & Chen, Ping-Yu & Chen, Chi-Chung, 2013. "Measuring green productivity of country: A generlized metafrontier Malmquist productivity index approach," Energy, Elsevier, vol. 55(C), pages 340-353.
  27. Kumbhakar, Subal C. & Wang, Hung-Jen, 2006. "Pitfalls in the estimation of a cost function that ignores allocative inefficiency: A Monte Carlo analysis," Journal of Econometrics, Elsevier, vol. 134(2), pages 317-340, October.
  28. Uwe Jensen, 2005. "Misspecification Preferred: The Sensitivity of Inefficiency Rankings," Journal of Productivity Analysis, Springer, vol. 23(2), pages 223-244, 05.
  29. Banker, Rajiv D. & Chang, Hsihui, 1995. "A simulation study of hypothesis tests for differences in efficiencies," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 37-54, April.
  30. Elizabeth B. Field-Hendre & Lee A. Craig, 1996. "Were Free Southern Farmers "Driven to Indolence" by Slavery? A Stochastic Production Frontier Approach," NBER Historical Working Papers 0082, National Bureau of Economic Research, Inc.
  31. Tauer, Loren W. & Belbase, Krishna P., 1987. "Technical Efficiency Of New York Dairy Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 16(1), April.
  32. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2014. "Cost Efficiency Analysis based on The DEA and StoNED Models: Case of Norwegian Electricity Distribution Companies," Discussion Papers 2014/28, Department of Business and Management Science, Norwegian School of Economics.
  33. Randy I. Anderson & Danielle Lewis & Leonard V. Zumpano, 2000. "X-Inefficiencies in the Residential Real Estate Market: A Stochastic Frontier Approach," Journal of Real Estate Research, American Real Estate Society, vol. 20(1), pages 93-103.
  34. Myungsup Kim & Yangseon Kim & Peter Schmidt, 2006. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
  35. Martin A. Carree, 2002. "Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis," Tinbergen Institute Discussion Papers 02-012/2, Tinbergen Institute.
  36. Mark Andor & Frederik Hesse, 2014. "The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the “oldies” (SFA and DEA)," Journal of Productivity Analysis, Springer, vol. 41(1), pages 85-109, February.
  37. Apezteguia, Belen Iraizoz & Garate, Manuel Rapun, 1997. "Technical efficiency in the Spanish agrofood industry," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 17(2-3), December.
  38. William C. Horrace & Christopher F. Parmeter, 2014. "A Laplace Stochastic Frontier Model," Center for Policy Research Working Papers 166, Center for Policy Research, Maxwell School, Syracuse University.
  39. Vlastuin, Chris & Lawrence, Denis & Quiggin, John C., 1982. "Size Economies in Australian Agriculture," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 50(01), April.
  40. Martin A. Carree, 2002. "Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis," Tinbergen Institute Discussion Papers 02-012/2, Tinbergen Institute.
  41. Smith, H. Arlen & Taylor, C. Robert, 1998. "Finite Mixture Estimation Of Size Economies And Cost Frontiers In The Face Of Multiple Production Technologies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(02), December.
  42. Altunbas, Yener & Liu, Ming-Hau & Molyneux, Philip & Seth, Rama, 2000. "Efficiency and risk in Japanese banking," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1605-1628, October.
  43. Estache, Antonio & Rossi, Martin A., 1999. "Comparing the performance of public and private water companies in the Asia and Pacific region : what a stochastic costs frontier shows," Policy Research Working Paper Series 2152, The World Bank.
  44. 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.
  45. Wen-Jen Tsay & Cliff J. Huang & Tsu-Tan Fu & I-Lin Ho, 2009. "Maximum Likelihood Estimation of Censored Stochastic Frontier Models: An Application to the Three-Stage DEA Method," IEAS Working Paper : academic research 09-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  46. Cornwell, Christopher Mark & Wächter, Jens-Uwe, 1999. "Productivity convergence and economic growth: A frontier production function approach," ZEI Working Papers B 06-1999, ZEI - Center for European Integration Studies, University of Bonn.
  47. Mohamed El Arbi Chaffai, 1989. "Estimation de frontières de production et de l'inefficacité technique. Application aux entreprises tunisiennes," Économie et Prévision, Programme National Persée, vol. 91(5), pages 67-73.
  48. Wen-Jen Tsay & Cliff Huang & Tsu-Tan Fu & I.-Lin Ho, 2013. "A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 39(3), pages 259-269, June.
  49. Apezteguia, Belen Iraizoz & Garate, Manuel Rapun, 1997. "Technical efficiency in the Spanish agrofood industry," Agricultural Economics, Blackwell, vol. 17(2-3), pages 179-189, December.
  50. Mark Andor & Frederik Hesse, . "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
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