Formulation and estimation of stochastic frontier production function models☆
References (19)
Efficiency estimation of production functions
International Economic Review
(1972)- et al.
On estimating the industry production function
American Economic Review
(1968) - et al.
On the estimation of production frontiers
International Economic Review
(1976) Regression analysis when the dependent variable is truncated normal
Econometrica
(1973)Estimating the mean and variance of normal populations from singly and doubly truncated samples
Annals of Mathematical Statistics
(1950)On the solution of estimating equations for truncated and censored samples from normal populations
Biometrika
(1957)An application of bounded nonparametric estimating functions to the analysis of bank cost and production functions
The measurement of productive efficiency
Journal of the Royal Statistical Society
(1957)- et al.
Nonlinear methods in econometrics
(1971)
There are more references available in the full text version of this article.
Cited by (6048)
US banks efficiency after global financial crisis: Transient and persistent decomposition
2024, North American Journal of Economics and FinanceSupply chain diffusion mechanisms for AI applications: A perspective on audit pricing
2024, International Review of Financial AnalysisLinking natural resource abundance and green growth: The role of energy transition
2024, Resources PolicyDoes unfairness reduce efficiency? Within-industry CEO pay inequity and firm efficiency in China
2024, Finance Research Letters
- ☆
This work was supported in part by NSF Grant GS-39995 (DJA). We are indebted to Takeshi Amemiya, Forrest Nelson, and Dale J. Poirier for helpful advice at various stages of the research, and to Chinbang Chung for research assistance. None of them should be held responsible for any errors that remain.
Copyright © 1977 Published by Elsevier B.V.