When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models-Reference-Cited by-同舟云学术

When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models

Published:2016-11 Issue:1 Volume:255 Page:272-287
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Badunenko Oleg,Kumbhakar Subal C.

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference31 articles.

1. Formulation and estimation of stochastic frontier production function models;Aigner;Journal of Econometrics,1977

2. Accounting for unobservables in production models:management and inefficiency;Álvarez,2004

3. Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data;Battese;Journal of Econometrics,1988

4. Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India;Battese;Journal of Productivity Analysis,1992

5. Effects of heterogeneity on bank efficiency scores;Bos;European Journal of Operational Research,2009

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing the Impacts of Compost‐Bedded Pack Barns on the Productive Efficiency of Brazilian Dairy Farms;Agribusiness;2024-09-13

2. Estimation and determinants of transient and persistent efficiency of rice production in Spain;Agribusiness;2024-08-26

3. Transient and Persistent Technical Efficiencies in Rice Farming: A Generalized True Random-Effects Model Approach;Econometrics;2024-08-12

4. The role of hired labour on technical efficiency in an expanding dairy sector: The case of Ireland;Australian Journal of Agricultural and Resource Economics;2024-01-19

5. Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parameters;European Journal of Operational Research;2024-01