Abstract
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. All computations are carried out using Markov chain Monte Carlo methods. The approach is illustrated by applying it to production data obtained from a survey of Ukrainian collective farms. We show that looking at the changes in single-input-oriented technical efficiency in addition to the changes in output-oriented technical efficiency improves the understanding of the dynamics of technical efficiency over the first years of transition in the former Soviet Union.
| Original language | English |
|---|---|
| Pages (from-to) | 191-211 |
| Number of pages | 21 |
| Journal | Journal of Productivity Analysis |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| State | Published - Sep 1 2003 |
Keywords
- Bayesian estimation
- Input efficiency
- Stochastic production frontier
- Transition agriculture
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