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Inferences From Cross-sectional, Stochastic Frontier Models

Bibliographic reference Simar, Léopold ; Wilson, Paul W.. Inferences From Cross-sectional, Stochastic Frontier Models. In: Econometric Reviews, Vol. 29, no. 1, p. 62-98 (2010)
Permanent URL http://hdl.handle.net/2078.1/34423
  1. Aigner Dennis, Lovell C.A.Knox, Schmidt Peter, Formulation and estimation of stochastic frontier production function models, 10.1016/0304-4076(77)90052-5
  2. Battese G. E., Australian Journal of Agricultural Economics, 21, 169 (1977)
  3. Battese George E., Coelli Tim J., Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data, 10.1016/0304-4076(88)90053-x
  4. Bauer Paul W., Recent developments in the econometric estimation of frontiers, 10.1016/0304-4076(90)90046-v
  5. Berndt E., Annals of Economic and Social Measurement, 3, 653 (1974)
  6. Bravo-Ureta Boris E., Pinheiro António E., Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature, 10.1017/s1068280500000320
  7. Breiman L., Machine Learning, 24, 123 (1996)
  8. Bühlmann Peter, Yu Bin, Analyzing bagging, 10.1214/aos/1031689014
  9. Cameron A. C., Microeconometrics: Methods and Applications (2005)
  10. Coelli Tim, Estimators and hypothesis tests for a stochastic frontier function: A Monte Carlo analysis, 10.1007/bf01076978
  11. Coelli , T. ( 1996 ). A guide to frontier version 4.1: a computer program for stochastic frontier production and cost function estimation. CEPA working paper #96/07, Centre for Efficiency and Productivity Analysis, University of New England, Arimidale, NSW 2351, Australia .
  12. Davison A. C., Hinkley D. V., Bootstrap methods and their application, ISBN:9780511802843, 10.1017/cbo9780511802843
  13. Efron B., Bootstrap Methods: Another Look at the Jackknife, 10.1214/aos/1176344552
  14. Efron B., The Jackknife, the Bootstrap and Other Resampling Plans (1982)
  15. Efron Bradley, Tibshirani Robert J., An Introduction to the Bootstrap, ISBN:9780412042317, 10.1007/978-1-4899-4541-9
  16. Fletcher R., Computer Journal, 6, 163 (1963)
  17. Flores-Lagunes Alfonso, Horrace William C., Schnier Kurt E., Identifying technically efficient fishing vessels: a non-empty, minimal subset approach, 10.1002/jae.942
  18. Friedman , J. H. , Hall , P. ( 1999 ). On bagging and nonlinear estimation. Unpublished working paper, Department of Statistics, Stanford University .
  19. Fushiki Tadayoshi, Komaki Fumiyasu, Aihara Kazuyuki, Nonparametric bootstrap prediction, 10.3150/bj/1116340296
  20. Giannakas Konstantinos, Tran Kien C., Tzouvelekas Vangelis, On the choice of functional form in stochastic frontier modeling, 10.1007/s001810100120
  21. Gourieroux Christian, Monfort Alain, Vuong Quang, Statistics and Econometric Models, ISBN:9780511751967, 10.1017/cbo9780511751967
  22. Greene W. H., The Measurement of Productive Efficiency, 68 (1993)
  23. Greene W. H., LIMDEP Version 7.0 User's Manual (1995)
  24. Greene W. H., Handbook of Applied Econometrics, 81 (1999)
  25. Hall P., The Bootstrap and Edgeworth Expansion (1992)
  26. Hall Peter, H�rdle Wolfgang, Simar L�opold, Iterated bootstrap with applications to frontier models, 10.1007/bf01073495
  27. HARRIS IAN R., Predictive fit for natural exponential families, 10.1093/biomet/76.4.675
  28. Herrero I., Computers in Higher Education Economics Review (2002)
  29. Horrace William C., On ranking and selection from independent truncated normal distributions, 10.1016/j.jeconom.2004.05.005
  30. Horrace William C., Schmidt Peter, Confidence statements for efficiency estimates from stochastic frontier models, 10.1007/bf00157044
  31. Kumbhakar , S. C. , Löthgren , M. ( 1998 ). A Monte Carlo analysis of technical inefficiency predictors. Working Paper Series in Economics and Finance, No. 229, Stockholm School of Economics, P.O. Box 6501, S-113 83 Stockholm, Sweden .
  32. Kumbhakar S. C., Stochastic Frontier Analysis (2000)
  33. Leamer E. E., Specification Searches: Ad Hoc Inference with Nonexperimental Data (1978)
  34. Lee Lung-Fei, Asymptotic Distribution of the Maximum Likelihood Estimator for a Stochastic Frontier Function Model with a Singular Information Matrix, 10.1017/s026646660000774x
  35. Meeusen Wim, van Den Broeck Julien, Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error, 10.2307/2525757
  36. Neter J., Applied Linear Statistical Models (1990)
  37. Olson Jerome A., Schmidt Peter, Waldman Donald M., A Monte Carlo study of estimators of stochastic frontier production functions, 10.1016/0304-4076(80)90043-3
  38. Ritter Christian, Simar Léopold, 10.1023/a:1007751524050
  39. Sena Vania, Stochastic frontier estimation: a review of the software options, 10.1002/(sici)1099-1255(199909/10)14:5<579::aid-jae545>3.0.co;2-t
  40. Shao J., Mathematical Statistics (1999)
  41. Simar L., La Medición de la Eficiencia y la Productividad (2001)
  42. Simar Léopold, Wilson Paul W., Performance of the Bootstrap for Dea Estimators and Iterating the Principle, International Series in Operations Research & Management Science ISBN:1402077971 p.265-298, 10.1007/1-4020-7798-x_10
  43. Stuart A., Kendall's Advanced Theory of Statistics, 2 (1999)
  44. Taube R., Möglichkeiten der Effizienzmessung von öffentlichen Verwaltungen (1988)
  45. Waldman Donald M., A stationary point for the stochastic frontier likelihood, 10.1016/0304-4076(82)90041-0