Formulation and Estimation of Stochastic Frontier Production Function Models
ResearchPublished 1976
Suggests a new approach to the estimation of frontier production functions. This involves the specification of the error term as being made up of two components, one normal and the other from a one-sided distribution. Previous approaches to the estimation of parametric frontier production functions are reviewed, then the new approach is explained, supported by some Monte Carlo experiments and empirical examples.
Document Details
- Copyright: RAND Corporation
- Availability: Available
- Year: 1976
- Print Format: Paperback
- Paperback Pages: 28
- Paperback Price: $20.00
- Document Number: P-5649
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Aigner, Dennis J., C. A. K. Lovell, and Peter Schmidt, Formulation and Estimation of Stochastic Frontier Production Function Models, RAND Corporation, P-5649, 1976. As of September 28, 2024: https://www.rand.org/pubs/papers/P5649.html
Aigner, Dennis J., C. A. K. Lovell, and Peter Schmidt, Formulation and Estimation of Stochastic Frontier Production Function Models. Santa Monica, CA: RAND Corporation, 1976. https://www.rand.org/pubs/papers/P5649.html. Also available in print form.
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