Adverse Selection and the Capped Premium Subsidy in the Federal Employees Health Benefits Program

B. Gray, T. Selden
{"title":"Adverse Selection and the Capped Premium Subsidy in the Federal Employees Health Benefits Program","authors":"B. Gray, T. Selden","doi":"10.1111/1539-6975.00015","DOIUrl":null,"url":null,"abstract":"This article examines the relationship between adverse selection and the capped premium subsidy in the Federal Employees Health Benefit Program (FEHBP). Understanding this relationship is important, not only because the FEHBP is the largest employer-sponsored health program in the United States, but also because it has been proposed as a market-based model for the reform of both Medicare and the market for nongroup private coverage. We present a theoretical model of the FEHBP that we then test using enrollee data. In particular, we exploit the natural experiment that arises from variation in the premium subsidy cap across Metropolitan Statistical Areas (MSAs). Although the nominal subsidy cap is constant across MSAs, its real value varies greatly across MSAs with different price levels. The empirical analysis herein supports the contention that the premium subsidy in the FEHBP helps reduce adverse selection.","PeriodicalId":237817,"journal":{"name":"HEN: Insurance (Topic)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HEN: Insurance (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/1539-6975.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

This article examines the relationship between adverse selection and the capped premium subsidy in the Federal Employees Health Benefit Program (FEHBP). Understanding this relationship is important, not only because the FEHBP is the largest employer-sponsored health program in the United States, but also because it has been proposed as a market-based model for the reform of both Medicare and the market for nongroup private coverage. We present a theoretical model of the FEHBP that we then test using enrollee data. In particular, we exploit the natural experiment that arises from variation in the premium subsidy cap across Metropolitan Statistical Areas (MSAs). Although the nominal subsidy cap is constant across MSAs, its real value varies greatly across MSAs with different price levels. The empirical analysis herein supports the contention that the premium subsidy in the FEHBP helps reduce adverse selection.
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
逆向选择和联邦雇员健康福利计划中的上限保费补贴
本文考察了逆向选择与联邦雇员健康福利计划(FEHBP)中上限保费补贴之间的关系。了解这种关系很重要,不仅因为FEHBP是美国最大的雇主资助的健康计划,而且因为它被提议作为改革医疗保险和非团体私人保险市场的一个基于市场的模式。我们提出了一个FEHBP的理论模型,然后使用登记者的数据进行测试。特别是,我们利用了由大都市统计区(msa)保费补贴上限变化引起的自然实验。尽管名义补贴上限在各个msa之间是恒定的,但其实际价值在不同价格水平的msa之间差异很大。本文的实证分析支持了FEHBP中保费补贴有助于减少逆向选择的观点。
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
A reminder in the air: Attention to pollution and the purchase of critical illness insurance Inertia, Market Power, and Adverse Selection in Health Insurance: Evidence from the ACA Exchanges The Economics of the Public Option: Evidence from Local Pharmaceutical Markets Health Insurance Awareness Among the University Teachers in Pokhara Valley Virginia Auto Insurers Tread Softly: An Underinsured Motorist Carrier's Good Faith Duty (or Lack Thereof) before Judgment
×
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