讲座题目:Measurement of Technical Inefficiency and Total Factor Productivity Growth: A Semiparametric Stochastic Input Distance Frontier Approach
主讲人:Tomas Baležentis
讲座时间:10月17日(周四)下午 16:00-17:30
讲座地点:综合楼647
主讲人简介:
立陶宛农业经济研究所首席专家,先后获得维尔纽斯大学和哥本哈根大学经济学博士学位,主要研究领域为多目标决策、效率分析等。目前,他已发表学术论文80余篇,其中包括European Journal of Operational Research,Journal of Productivity Analysis等SSCI期刊数十余篇,出版专著4本。
讲座摘要:
This presents a four-component stochastic frontier model in which the frontier function is represented by an unknown smooth input distance function, and inefficiency is decomposed into persistent and transient inefficiencies. Furthermore, the pre-truncation mean and variance of the transient inefficiency are functions of the environmental variables. By differentiating the four-component input distance frontier with respect to the time trend, TFP growth is estimated under the semiparametric smooth coefficient framework, and is decomposed into six components, i.e., technical change, scale component, allocative component, external component, efficiency change, and residual component. The empirical example focuses on multiple outputs.
友情链接: 浙江工商大学统计学院 | 中国人民大学统计学院 | 厦门大学计划统计系 | 中国统计学会 |
版权所有 ©2017 浙江工商大学统计学院 All Right Reserver. Email:tjx@zjgsu.edu.cn 技术支持:名冠电子商务
地址:浙江省杭州市下沙高教园区学正街18号 联系电话:(86)571-28008085 浙ICP备15014656号 浙公网安备33011802000512号