有限混合数罗伊模型

IF 2.3 3区 经济学 Q2 ECONOMICS
Murat K. Munkin
{"title":"有限混合数罗伊模型","authors":"Murat K. Munkin","doi":"10.1002/jae.2928","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper develops the Finite Mixture Roy model for count variables and uses this semiparametric model to analyze the effect of supplemental Medigap private insurance on the demand for prescription drugs for the U.S. elderly unemployed Medicare population. The model is an extension of the Count Roy model, which produces unrealistic treatment effects when observed count patterns are consistent with finite mixtures. To estimate the numbers of components in the mixtures for individuals with and without Medigap, this paper adopts the random permutation sampler. The considered application motivates two additional features of the model. Specifically, the smoothly mixing regression approach is utilized to model the probabilities of the components, and a continuous instrumental variable is allowed to enter the treatment equation nonparametrically. Strong evidence is found that there are two components both in the treated and untreated states. These lower and higher utilization components are interpreted as relatively healthy and unhealthy groups. The estimated treatment effects show that Medigap insurance provides incentives to increase prescription drug utilization by 2%. The results are consistent with adverse selection.</p>\n </div>","PeriodicalId":48363,"journal":{"name":"Journal of Applied Econometrics","volume":"37 6","pages":"1160-1181"},"PeriodicalIF":2.3000,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Count Roy model with finite mixtures\",\"authors\":\"Murat K. Munkin\",\"doi\":\"10.1002/jae.2928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This paper develops the Finite Mixture Roy model for count variables and uses this semiparametric model to analyze the effect of supplemental Medigap private insurance on the demand for prescription drugs for the U.S. elderly unemployed Medicare population. The model is an extension of the Count Roy model, which produces unrealistic treatment effects when observed count patterns are consistent with finite mixtures. To estimate the numbers of components in the mixtures for individuals with and without Medigap, this paper adopts the random permutation sampler. The considered application motivates two additional features of the model. Specifically, the smoothly mixing regression approach is utilized to model the probabilities of the components, and a continuous instrumental variable is allowed to enter the treatment equation nonparametrically. Strong evidence is found that there are two components both in the treated and untreated states. These lower and higher utilization components are interpreted as relatively healthy and unhealthy groups. The estimated treatment effects show that Medigap insurance provides incentives to increase prescription drug utilization by 2%. The results are consistent with adverse selection.</p>\\n </div>\",\"PeriodicalId\":48363,\"journal\":{\"name\":\"Journal of Applied Econometrics\",\"volume\":\"37 6\",\"pages\":\"1160-1181\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2022-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Econometrics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jae.2928\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Econometrics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jae.2928","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

本文建立了计数变量的有限混合Roy模型,并利用该半参数模型分析了补充医疗保险对美国老年失业医疗保险人群处方药需求的影响。该模型是罗伊伯爵模型的扩展,当观察到的计数模式与有限混合物一致时,罗伊伯爵模型会产生不切实际的处理效果。为了估计有和没有Medigap的个体的混合物中成分的数量,本文采用随机排列采样器。所考虑的应用程序激发了模型的两个附加特性。具体而言,采用平滑混合回归方法对各成分的概率进行建模,并允许一个连续的工具变量非参数地进入处理方程。强有力的证据表明,在治疗和未治疗状态中都存在两种成分。这些利用率较低和较高的成分被解释为相对健康和不健康的群体。估计的治疗效果表明,医疗保险提供了激励,使处方药的使用率提高了2%。结果与逆向选择是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Count Roy model with finite mixtures

This paper develops the Finite Mixture Roy model for count variables and uses this semiparametric model to analyze the effect of supplemental Medigap private insurance on the demand for prescription drugs for the U.S. elderly unemployed Medicare population. The model is an extension of the Count Roy model, which produces unrealistic treatment effects when observed count patterns are consistent with finite mixtures. To estimate the numbers of components in the mixtures for individuals with and without Medigap, this paper adopts the random permutation sampler. The considered application motivates two additional features of the model. Specifically, the smoothly mixing regression approach is utilized to model the probabilities of the components, and a continuous instrumental variable is allowed to enter the treatment equation nonparametrically. Strong evidence is found that there are two components both in the treated and untreated states. These lower and higher utilization components are interpreted as relatively healthy and unhealthy groups. The estimated treatment effects show that Medigap insurance provides incentives to increase prescription drug utilization by 2%. The results are consistent with adverse selection.

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
3.70
自引率
4.80%
发文量
63
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
×
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