Estimating Monotone Concave Stochastic Production Frontiers

Tsionas, Mike (2022) Estimating Monotone Concave Stochastic Production Frontiers. Journal of Business and Economic Statistics, 40 (3). pp. 1403-1414. ISSN 0735-0015

Full text not available from this repository.


Recent research shows that the search for Bayesian estimation of concave production functions is a fruitful area of investigation. In this article, we use a flexible cost function that satisfies globally the monotonicity and curvature properties to estimate features of the production function. Specification of a globally monotone concave production function is a difficult task which is avoided here by using the first-order conditions for cost minimization from a globally monotone concave cost function. The problem of unavailable factor prices is bypassed by assuming structure for relative prices in the first-order conditions. The new technique is shown to perform well in a Monte Carlo experiment as well as in an empirical application to rice farming in India.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Business and Economic Statistics
Uncontrolled Keywords:
ID Code:
Deposited By:
Deposited On:
04 Nov 2021 07:03
Last Modified:
22 Nov 2022 10:48