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References (3)
-
D. Aigner, C. Lovell (1977)
P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? -
P. Schmidt (1976)
On the Statistical Estimation of Parametric Frontier Production FunctionsThe Review of Economics and Statistics, 58
-
T. Amemiya (1973)
Regression Analysis when the Dependent Variable is Truncated NormalEconometrica, 41
- Publisher
- Wiley
- Copyright
- Copyright © 1977 Wiley Subscription Services, Inc., A Wiley Company
- ISSN
- 1364-985X
- eISSN
- 1467-8489
- DOI
- 10.1111/j.1467-8489.1977.tb00204.x
- Publisher site
- See Article on Publisher Site
Abstract
This paper considers a statistical model for a production frontier that is consistent with the traditional (nonstochastic) definition of a production function given in microeconomic theory. Limiting cases of the model are the familiar average production function and an envelope production function. Maximum‐likelihood estimators for the parameters of the model are defined. The three related models are applied in the estimation of a production frontier for the Pastoral Zone of Eastern Australia with use of data from the Australian Grazing Industry Survey.
Journal
The Australian Journal of Agricultural Resource Economics – Wiley
Published: Dec 1, 1977