.png){kind=icon}
返回
Stochastic frontier analysis using Stata
.png){kind=icon}
OA
AI
DOI：10.1177/1536867X1301300404.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This article describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectional and panel-data stochastic frontier models. sfcross extends the capabilities of the frontier command by including additional models (Greene, 2003, Journal of Productivity Analysis 19: 179-190; Wang, 2002, Journal of Productivity Analysis 18: 241-253) and command functionalities, such as the possibility of managing complex survey data characteristics. Similarly, sfpanel allows one to fit a much wider range of time-varying inefficiency models compared with the xtfrontier command, including the model of Cornwell, Schmidt, and Sickles (1990, Journal of Econometrics 46: 185-200); the model of Lee and Schmidt (1993, in The Measurement of Productive Efficiency: Techniques and Applications), a production frontier model with flexible temporal variation in technical efficiency; the flexible model of Kumbhakar (1990, Journal of Econometrics 46: 201-211); the inefficiency effects model of Battese and Coelli (1995 Empirical Economics 20: 325-332); and the true fixed- and random-effects models of Greene (2005a, Journal of Econometrics 126: 269-303). A brief overview of the stochastic frontier literature, a description of the two commands and their options, and examples using simulated and real data are provided.
Keyword:
st0315
sfcross
sfpanel
stochastic frontier analysis
production frontier
cost frontier
cross-sectional
panel data
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
S
IF:
2.4
论文数:
1.2K
被引数:
8.4K
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容