Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989-1992: Bayesian Analysis of a Stochastic Production Frontier Model

L. A. Kurkalova; A. Carriquiry

doi:10.1023/A:1025132322762

Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989-1992: Bayesian Analysis of a Stochastic Production Frontier Model

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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	https://doi.org/10.1023/A:1025132322762
State	Published - Sep 2003
Externally published	Yes

Keywords

Bayesian estimation
Input efficiency
Stochastic production frontier
Transition agriculture

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10.1023/A:1025132322762

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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.",

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T2 - Bayesian Analysis of a Stochastic Production Frontier Model

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AU - Carriquiry, A.

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N2 - 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.

AB - 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.

KW - Bayesian estimation

KW - Input efficiency

KW - Stochastic production frontier

KW - Transition agriculture

UR - https://www.scopus.com/pages/publications/0042023245

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JF - Journal of Productivity Analysis

IS - 2

ER -

Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989-1992: Bayesian Analysis of a Stochastic Production Frontier Model

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Keywords

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