评估从随机前沿模型获得的效率排名的准确性

Q3 Economics, Econometrics and Finance
Ilya Nikolskiy, Kirill Furmanov
{"title":"评估从随机前沿模型获得的效率排名的准确性","authors":"Ilya Nikolskiy, Kirill Furmanov","doi":"10.22394/1993-7601-2023-71-128-142","DOIUrl":null,"url":null,"abstract":"A technique for assessing the concordance between true inefficiency of decision making units in a basic stochastic frontier model and their JLMS estimates is proposed. An approximate formula for Harrell’s C‐index is derived for the case of half‐normal distribution of inefficiency component. A simulation study shows that the approximation error is about 0.01 and that finite‐sample values of Harrell’s C are lower than asymptotic values. Hence, the approximate formula may be considered as an upper bound for the ranking accuracy of the stochastic frontier model.","PeriodicalId":8045,"journal":{"name":"Applied Econometrics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the accuracy of efficiency rankings obtained from a stochastic frontier model\",\"authors\":\"Ilya Nikolskiy, Kirill Furmanov\",\"doi\":\"10.22394/1993-7601-2023-71-128-142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A technique for assessing the concordance between true inefficiency of decision making units in a basic stochastic frontier model and their JLMS estimates is proposed. An approximate formula for Harrell’s C‐index is derived for the case of half‐normal distribution of inefficiency component. A simulation study shows that the approximation error is about 0.01 and that finite‐sample values of Harrell’s C are lower than asymptotic values. Hence, the approximate formula may be considered as an upper bound for the ranking accuracy of the stochastic frontier model.\",\"PeriodicalId\":8045,\"journal\":{\"name\":\"Applied Econometrics\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22394/1993-7601-2023-71-128-142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/1993-7601-2023-71-128-142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种评估基本随机前沿模型中决策单元的真实无效率与其JLMS估计之间一致性的方法。对于低效率分量的半正态分布,导出了哈勒尔C指数的近似公式。仿真研究表明,该方法的近似误差约为0.01,Harrell’s C的有限样本值小于渐近值。因此,近似公式可以看作是随机前沿模型排序精度的上界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the accuracy of efficiency rankings obtained from a stochastic frontier model
A technique for assessing the concordance between true inefficiency of decision making units in a basic stochastic frontier model and their JLMS estimates is proposed. An approximate formula for Harrell’s C‐index is derived for the case of half‐normal distribution of inefficiency component. A simulation study shows that the approximation error is about 0.01 and that finite‐sample values of Harrell’s C are lower than asymptotic values. Hence, the approximate formula may be considered as an upper bound for the ranking accuracy of the stochastic frontier model.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Applied Econometrics
Applied Econometrics Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信