• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

红鲱鱼会游圆圈吗?控制死亡时间的内生性。

Do red herrings swim in circles? Controlling for the endogeneity of time to death.

机构信息

Duisburg-Essen University, Health Economics, 45117 Essen, Germany.

出版信息

J Health Econ. 2010 Mar;29(2):205-12. doi: 10.1016/j.jhealeco.2009.11.014. Epub 2009 Nov 26.

DOI:10.1016/j.jhealeco.2009.11.014
PMID:20022392
Abstract

Studies on the effect of ageing on health care expenditure (HCE) have revealed the importance of controlling for time-to-death (TTD). These studies, however, are subject to possible endogeneity if HCE influences the remaining life expectancy. This paper introduces a 10-year observation period on monthly HCE, socioeconomic characteristics and survivor status to first predict TTD and then use the predicted values as an instrument in the regression for HCE. While exogeneity of TTD has to be rejected, core results concerning the role of TTD rather than age as a determinant of HCE (the 'red herring' hypothesis) are confirmed.

摘要

关于年龄对医疗保健支出(HCE)影响的研究表明,控制死亡时间(TTD)非常重要。然而,如果 HCE 影响剩余预期寿命,这些研究可能存在内生性。本文介绍了一项为期 10 年的月度 HCE、社会经济特征和生存状况观察期,首先预测 TTD,然后将预测值用作 HCE 回归的工具。虽然 TTD 的外生性被拒绝,但关于 TTD 而非年龄作为 HCE 决定因素的核心结果(“红鲱鱼”假说)得到了证实。

相似文献

1
Do red herrings swim in circles? Controlling for the endogeneity of time to death.红鲱鱼会游圆圈吗?控制死亡时间的内生性。
J Health Econ. 2010 Mar;29(2):205-12. doi: 10.1016/j.jhealeco.2009.11.014. Epub 2009 Nov 26.
2
Population ageing and health care expenditure: a school of 'red herrings'?人口老龄化与医疗保健支出:一派“转移注意力的话题”?
Health Econ. 2007 Oct;16(10):1109-26. doi: 10.1002/hec.1213.
3
Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis.预测瑞士医疗保健支出:对“转移焦点”假说的进一步证据。
Int J Health Plann Manage. 2011 Jul-Sep;26(3):246-63. doi: 10.1002/hpm.1068. Epub 2010 Oct 10.
4
Health care costs in the last year of life--the Dutch experience.生命最后一年的医疗保健费用——荷兰的经验。
Soc Sci Med. 2006 Oct;63(7):1720-31. doi: 10.1016/j.socscimed.2006.04.018. Epub 2006 Jun 14.
5
Time to death and health expenditure: an improved model for the impact of demographic change on health care costs.从患病到死亡的时间与医疗支出:一种关于人口结构变化对医疗成本影响的改进模型
Age Ageing. 2004 Nov;33(6):556-61. doi: 10.1093/ageing/afh187. Epub 2004 Aug 12.
6
Trends in mortality differentials and life expectancy for male social security-covered workers, by socioeconomic status.按社会经济地位划分的男性社会保障参保工人死亡率差异和预期寿命的趋势。
Soc Secur Bull. 2007;67(3):1-28.
7
Exploring the influence of proximity to death on disease-specific hospital expenditures: a carpaccio of red herrings.探讨接近死亡对疾病特异性医院支出的影响:一片红鲱鱼。
Health Econ. 2011 Apr;20(4):379-400. doi: 10.1002/hec.1597.
8
Time to death and the forecasting of macro-level health care expenditures: some further considerations.死亡时间与宏观医疗支出预测:进一步的思考。
J Health Econ. 2012 Dec;31(6):876-87. doi: 10.1016/j.jhealeco.2012.08.003. Epub 2012 Aug 29.
9
Uninsured status and out-of-pocket costs at midlife.中年时的未参保状态与自付费用
Health Serv Res. 2000 Dec;35(5 Pt 1):911-32.
10
Mortality over four decades after traumatic brain injury rehabilitation: a retrospective cohort study.创伤性脑损伤康复后四十年的死亡率:一项回顾性队列研究
Arch Phys Med Rehabil. 2009 Sep;90(9):1506-13. doi: 10.1016/j.apmr.2009.03.015.

引用本文的文献

1
Age, morbidity, and time to death: End-of-life expenditures on health care for the young-old population.年龄、发病率与死亡时间:老年前期人群临终医疗支出
Eur J Health Econ. 2025 Feb 11. doi: 10.1007/s10198-025-01757-8.
2
How to Predict Drug Expenditure: A Markov Model Approach with Risk Classes.如何预测药物支出:基于风险类别的马尔可夫模型方法。
Pharmacoeconomics. 2023 May;41(5):561-572. doi: 10.1007/s40273-023-01240-3. Epub 2023 Feb 25.
3
Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure.
年龄、发病率还是其他因素?利用微观数据衡量技术进步对医疗支出影响的剩余法研究。
Health Econ. 2022 Jun;31(6):1184-1201. doi: 10.1002/hec.4500. Epub 2022 Mar 31.
4
Examining proximity to death and health care expenditure by disease: a Bayesian-based descriptive statistical analysis from the National Health Insurance database in Japan.按疾病考察临终状态与医疗保健支出:基于贝叶斯的日本国民健康保险数据库描述性统计分析
Health Econ Rev. 2022 Jan 10;12(1):6. doi: 10.1186/s13561-021-00353-9.
5
[Healthcare expenditure and the impact of age: a detailed analysis for survivors and decedents].[医疗保健支出与年龄的影响:对幸存者和死者的详细分析]
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2021 Oct;64(10):1307-1314. doi: 10.1007/s00103-021-03385-y. Epub 2021 Jul 13.
6
Evolution of health care utilization and expenditure during the year before death in 2015 among people with cancer: French snds-based cohort study.2015 年癌症患者死亡前一年的医疗保健利用和支出的演变:基于法国 SNDs 的队列研究。
Eur J Health Econ. 2021 Sep;22(7):1039-1052. doi: 10.1007/s10198-021-01304-1. Epub 2021 Jun 7.
7
The Effect of Population Aging on Healthcare Expenditure from a Healthcare Demand Perspective Among Different Age Groups: Evidence from Beijing City in the People's Republic of China.从医疗需求角度看人口老龄化对不同年龄组医疗保健支出的影响:来自中华人民共和国北京市的证据
Risk Manag Healthc Policy. 2020 Aug 31;13:1403-1412. doi: 10.2147/RMHP.S271289. eCollection 2020.
8
Proximity to death and health care expenditure increase revisited: A 15-year panel analysis of elderly persons.重新审视临近死亡与医疗保健支出增加的关系:对老年人的15年面板分析
Health Econ Rev. 2019 Mar 11;9(1):9. doi: 10.1186/s13561-019-0224-z.
9
Demand-side determinants of rising hospital admissions in Germany: the role of ageing.德国住院人数上升的需求侧决定因素:老龄化的作用。
Eur J Health Econ. 2019 Jul;20(5):715-728. doi: 10.1007/s10198-019-01033-6. Epub 2019 Feb 9.
10
The medical assistance system and inpatient health care provision: Empirical evidence from short-term hospitalizations in Japan.医疗援助制度与住院医疗服务提供:来自日本短期住院的经验证据。
PLoS One. 2018 Oct 4;13(10):e0204798. doi: 10.1371/journal.pone.0204798. eCollection 2018.