贝叶斯前沿模型的元前沿生产函数:跨国比较

P. Economou, S. Malefaki, K. Kounetas
{"title":"贝叶斯前沿模型的元前沿生产函数:跨国比较","authors":"P. Economou, S. Malefaki, K. Kounetas","doi":"10.1080/23737484.2020.1829177","DOIUrl":null,"url":null,"abstract":"Abstract Growth theory argues on the role of heterogeneity that can lead to multiple regimes examining countries’ performance. A metaproduction stochastic function for the Bayesian frontier model is developed to estimate productive performance across 109 countries over a 20-year period using two distinct frontiers (OECD vs. non-OECD countries). The metafrontier model is used to highlight heterogeneity among clusters of countries revealing catch up phenomena. The estimation procedure is based on the notion of stochastic ordering and relies on the solution of an optimization problem on the parameters’ posterior means. Empirical results reveal that heterogeneity indeed plays a significant and distinctive role.","PeriodicalId":36561,"journal":{"name":"Communications in Statistics Case Studies Data Analysis and Applications","volume":"2 1","pages":"88 - 111"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A metafrontier production function for a Bayesian frontier model: A cross-country comparison\",\"authors\":\"P. Economou, S. Malefaki, K. Kounetas\",\"doi\":\"10.1080/23737484.2020.1829177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Growth theory argues on the role of heterogeneity that can lead to multiple regimes examining countries’ performance. A metaproduction stochastic function for the Bayesian frontier model is developed to estimate productive performance across 109 countries over a 20-year period using two distinct frontiers (OECD vs. non-OECD countries). The metafrontier model is used to highlight heterogeneity among clusters of countries revealing catch up phenomena. The estimation procedure is based on the notion of stochastic ordering and relies on the solution of an optimization problem on the parameters’ posterior means. Empirical results reveal that heterogeneity indeed plays a significant and distinctive role.\",\"PeriodicalId\":36561,\"journal\":{\"name\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"volume\":\"2 1\",\"pages\":\"88 - 111\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics Case Studies Data Analysis and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23737484.2020.1829177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics Case Studies Data Analysis and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23737484.2020.1829177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

摘要

抽象增长理论认为,异质性的作用可能导致多种制度审查国家的表现。开发了贝叶斯前沿模型的元生产随机函数,使用两个不同的前沿(经合组织与非经合组织国家)来估计109个国家在20年期间的生产绩效。元前沿模型用于突出揭示追赶现象的国家集群之间的异质性。估计过程基于随机排序的概念,并依赖于参数后验均值的优化问题的解。实证结果表明,异质性确实发挥了显著而独特的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A metafrontier production function for a Bayesian frontier model: A cross-country comparison
Abstract Growth theory argues on the role of heterogeneity that can lead to multiple regimes examining countries’ performance. A metaproduction stochastic function for the Bayesian frontier model is developed to estimate productive performance across 109 countries over a 20-year period using two distinct frontiers (OECD vs. non-OECD countries). The metafrontier model is used to highlight heterogeneity among clusters of countries revealing catch up phenomena. The estimation procedure is based on the notion of stochastic ordering and relies on the solution of an optimization problem on the parameters’ posterior means. Empirical results reveal that heterogeneity indeed plays a significant and distinctive role.
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
CiteScore
1.00
自引率
0.00%
发文量
29
期刊最新文献
The reciprocal elastic net Detection of influential observations in high-dimensional survival data Small area estimation of trends in household living standards in Uganda using a GMANOVA-MANOVA model and repeated surveys Applications of a new loss and cost-based process capability index to electronic industries A methodological framework for imputing missing spatial data at an aggregate level and guaranteeing data privacy: the AFFINITY method; implementation in the context of the official spatial Greek census data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1