Bayesian Estimation of Technical Efficiency of a Single Input

We propose estimation of a stochastic production frontier model within a Bayesian framework to obtain the posterior distribution of single-input-oriented technical efficiency at the firm level. The proposed method is applicable to the estimation of environmental efficiency of agricultural production when the technology interaction with the environment is modeled via public inputs such as soil quality and environmental conditions. All computations are carried out using Markov chain Monte Carlo methods. We illustrate the approach by applying it to production data from Ukrainian collective farms.


Issue Date:
2000
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/18545
Total Pages:
35
Series Statement:
CARD Working Paper 00-WP 254




 Record created 2017-04-01, last modified 2017-08-24

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