The Implications of Using Messy Data to Estimate Production-Frontier-Based Technical Efficiency Measures

REFERENCES

• Afriat , S. N. 1972 . “Efficiency Estimation of Production Functions,” . International Economic Review , 13 : 569 – 598 .
   Google Scholar
• Aigner , D. , Lovell , C. A. K. and Schmidt , P. 1977 . “Formulation and Estimation of Stochastic Frontier Production Function Models,” . Journal of Econometrics , 6 : 21 – 37 .
   Google Scholar
• Andrews , D. F. and Pregibon , D. 1978 . “Finding the Outliers That Matter,” . Journal of the Royal Statistical Society, Ser. B , 40 : 85 – 93 .
   Google Scholar
• Banker , R. D. , Charnes , A. and Cooper , W. W. 1984 . “Models for the Estimation of Technical and Scale Inefficiencies in Data Envelopment Analysis,” . Management Science , 30 : 1078 – 1092 .
   Web of Science ®Google Scholar
• Banker , R. D. and Maindiratta , A. 1987 . “Nonparametric Analysis of Technical and Allocative Efficiencies in Production,” Carnegie-Mellon University, School of Urban and Public Affairs. . working paper
   Google Scholar
• Barnett , V. and Lewis , T. 1984 . Outliers in Statistical Data New York : John Wiley. .
   Google Scholar
• Charnes , A. , Cooper , W. W. and Rhodes , E. 1978 . “Measuring the Efficiency of Decision-Making Units,” . European Journal of Operational Research , 2 : 429 – 444 .
   Web of Science ®Google Scholar
• Cook , R. D. 1977 . “Detection of Influential Observations in Linear Regression,” . Technometrics , 19 : 15 – 18 .
   Web of Science ®Google Scholar
• Cook , R. D. 1979 . “Influential Observations in Linear Regression,” . Journal of the American Statistical Association , 74 : 169 – 174 .
   Web of Science ®Google Scholar
• Cook , R. D. and Weisberg , S. 1980 . “Characterizations of an Empirical Influence Function for Detecting Influential Cases in Regression,” . Technometrics , 22 : 495 – 508 .
   Web of Science ®Google Scholar
• Cook , R. D. and Weisberg , S. 1982 . Residuals and Influence in Regression New York : Chapman & Hall. .
   Google Scholar
• Draper , N. R. and John , J. A. 1981 . “Influential Observations and Outliers in Regression,” . Technometrics , 23 : 21 – 26 .
   Web of Science ®Google Scholar
• Färe , R. , Grosskopf , S. and Lovell , C. A. K. 1985 . Measurement of Efficiency of Production Boston : Kluwer-Nijhoff. .
   Google Scholar
• Färe , R. and Lovell , C. A. K. 1978 . “Measuring Technical Efficiency of Production,” . Journal of Economic Theory , 19 : 150 – 162 .
   Web of Science ®Google Scholar
• Farrell , M. J. 1957 . “The Measurement of Productive Efficiency,” . Journal of the Royal Statistical Society, Ser. A , 120 : 253 – 281 .
   Web of Science ®Google Scholar
• Greene , W. H. 1980 . “Maximum Likelihood Estimation of Parametric Frontier Production Function,” . Journal of Econometrics , 13 : 5 – 25 .
   Web of Science ®Google Scholar
• Hoaglin , D. C. and Welsch , R. E. 1978 . “The Hat Matrix in Regression and ANOVA,” . The American Statistician , 32 : 17 – 22 .
   Web of Science ®Google Scholar
• Kopp , R. 1981 . “The Measurement of Productive Efficiency: A Reconsideration,” . Quarterly Journal of Economics , 96 : 476 – 503 .
   Web of Science ®Google Scholar
• Marasinghe , M. G. 1985 . “A Multistage Procedure for Detecting Several Outliers in Linear Regression,” . Technometrics , 27 : 395 – 399 .
   Web of Science ®Google Scholar
• Meeusen , W. and Van den Broeck , J. 1977 . “Efficiency Estimation From Cobb-Douglas Production Functions With Composed Error,” . International Economic Review , 18 : 435 – 444 .
   Web of Science ®Google Scholar
• Schmidt , P. 1985 . “Frontier Production Functions,” . Econometric Reviews , 4 : 289 – 328 .
   Google Scholar
• Shephard , R. W. 1970 . Theory of Cost and Production Functions Princeton , NJ : Princeton University Press. .
   Google Scholar
• Stephens , M. A. 1974 . “EDF Statistics for Goodness of Fit and Some Comparisons,” . Journal of the American Statistical Association , 69 : 730 – 737 .
   Web of Science ®Google Scholar
• Triantis , K. 1984 . “The Measurement of Efficiency of Production: The Case of Linerboard Manufacturing,” Columbia University, School of Arts and Sciences. . unpublished Ph.D. dissertation
   Google Scholar
• Triantis , K. 1987 . “The Specification of Production Processes With Implications for Technical and Allocative Efficiency,” Virginia Polytechnic Institute and State University, Northern Virginia Graduate Center. . working paper
   Google Scholar
• Welsch , R. E. 1982 . “Influence Functions and Regression Diagnostics,”. ” . In Modern Data Analysis Edited by: Launer , R. L. and Siegel , A. F. 149 – 170 . New York : Academic Press. .
   Google Scholar