Bayesian Estimation of Technical Efficiency of a Single Input
提出一种贝叶斯框架下的随机生产前沿模型，用于估计企业层面单一投入导向的技术效率，并应用于乌克兰集体农场的生产数据。
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.