健康保险要花多少钱?行政数据与调查数据的保费比较

Jeff Larrimore, David Splinter
{"title":"健康保险要花多少钱?行政数据与调查数据的保费比较","authors":"Jeff Larrimore, David Splinter","doi":"10.17016/FEDS.2018.030","DOIUrl":null,"url":null,"abstract":"Using newly available administrative data from the IRS, this paper studies the distribution of employer-sponsored health insurance premiums. Previous estimates, in contrast, were almost exclusively from household surveys. After correcting for coverage limitations of IRS data, we find average premiums for employer-sponsored plans are roughly $1,000 higher in IRS records than in the Current Population Survey. The downward bias in the CPS results from underestimating premiums of married workers and topcoding of high premiums.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"How Much Does Health Insurance Cost? Comparison of Premiums in Administrative and Survey Data\",\"authors\":\"Jeff Larrimore, David Splinter\",\"doi\":\"10.17016/FEDS.2018.030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using newly available administrative data from the IRS, this paper studies the distribution of employer-sponsored health insurance premiums. Previous estimates, in contrast, were almost exclusively from household surveys. After correcting for coverage limitations of IRS data, we find average premiums for employer-sponsored plans are roughly $1,000 higher in IRS records than in the Current Population Survey. The downward bias in the CPS results from underestimating premiums of married workers and topcoding of high premiums.\",\"PeriodicalId\":143058,\"journal\":{\"name\":\"Econometric Modeling: Microeconometric Studies of Health\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Econometric Modeling: Microeconometric Studies of Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17016/FEDS.2018.030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Microeconometric Studies of Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17016/FEDS.2018.030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文利用美国国税局最新提供的行政数据,研究了雇主赞助的健康保险费的分布。相比之下,以前的估计几乎完全来自家庭调查。在修正了美国国税局数据的覆盖范围限制后,我们发现,在美国国税局的记录中,雇主赞助计划的平均保费比当前人口调查中的保费高了大约1000美元。CPS的向下偏差是由于低估了已婚工人的保费和高保费的顶部编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Much Does Health Insurance Cost? Comparison of Premiums in Administrative and Survey Data
Using newly available administrative data from the IRS, this paper studies the distribution of employer-sponsored health insurance premiums. Previous estimates, in contrast, were almost exclusively from household surveys. After correcting for coverage limitations of IRS data, we find average premiums for employer-sponsored plans are roughly $1,000 higher in IRS records than in the Current Population Survey. The downward bias in the CPS results from underestimating premiums of married workers and topcoding of high premiums.
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
自引率
0.00%
发文量
0
×
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