Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index

Jiti Gao, B. Peng, Zhao Ren, Xiaohui Zhang
{"title":"Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index","authors":"Jiti Gao, B. Peng, Zhao Ren, Xiaohui Zhang","doi":"10.2139/ssrn.2672074","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a variable selection procedure based on the shrinkage estimation technique for a categorical varying-coefficient model. We apply the method to identify the relevant determinants for body mass index (BMI) from a large amount of potential factors proposed in the multidisciplinary literature, using data from the 2013 National Health Interview Survey in the United States. We quantify the varying impacts of the relevant determinants of BMI across demographic groups.","PeriodicalId":11036,"journal":{"name":"Demand & Supply in Health Economics eJournal","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Demand & Supply in Health Economics eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2672074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In this paper, we propose a variable selection procedure based on the shrinkage estimation technique for a categorical varying-coefficient model. We apply the method to identify the relevant determinants for body mass index (BMI) from a large amount of potential factors proposed in the multidisciplinary literature, using data from the 2013 National Health Interview Survey in the United States. We quantify the varying impacts of the relevant determinants of BMI across demographic groups.
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
具有身体质量指数决定因素识别的分类变系数模型的变量选择
在本文中,我们提出了一种基于收缩估计技术的变量选择程序,用于分类变系数模型。我们运用该方法从多学科文献中提出的大量潜在因素中确定体重指数(BMI)的相关决定因素,使用的数据来自2013年美国全国健康访谈调查。我们量化了不同人口群体中BMI相关决定因素的不同影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Procurement Institutions and Essential Drug Supply in Low and Middle-Income Countries Watching the Grass Grow: Does Recreational Cannabis Legalization Affect Labor Outcomes? Decomposition of Clinical Disparities with Machine Learning Economic Consequences of Hospital Closures The Price-Leverage Covariation as a Measure of the Response of the Leverage Effect To Price and Volatility Changes
×
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