{"title":"通过工作时间检测医疗保险报销中的潜在超支:评论","authors":"Brett Matsumoto","doi":"10.1257/aer.20180812","DOIUrl":null,"url":null,"abstract":"Fang and Gong (2017) develop a procedure to detect potential over-billing of Medicare by physicians. In their empirical analysis, they use aggregated claims data that can overstate the number of services performed due to features of Medicare billing. In this comment, I show how auditors can use detailed claims-level data to better target improper overbilling. (JEL H51, I13, I18, J22, J44)","PeriodicalId":48472,"journal":{"name":"American Economic Review","volume":"110 1","pages":"3991-4003"},"PeriodicalIF":10.5000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Comment\",\"authors\":\"Brett Matsumoto\",\"doi\":\"10.1257/aer.20180812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fang and Gong (2017) develop a procedure to detect potential over-billing of Medicare by physicians. In their empirical analysis, they use aggregated claims data that can overstate the number of services performed due to features of Medicare billing. In this comment, I show how auditors can use detailed claims-level data to better target improper overbilling. (JEL H51, I13, I18, J22, J44)\",\"PeriodicalId\":48472,\"journal\":{\"name\":\"American Economic Review\",\"volume\":\"110 1\",\"pages\":\"3991-4003\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Economic Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1257/aer.20180812\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Economic Review","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1257/aer.20180812","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Comment
Fang and Gong (2017) develop a procedure to detect potential over-billing of Medicare by physicians. In their empirical analysis, they use aggregated claims data that can overstate the number of services performed due to features of Medicare billing. In this comment, I show how auditors can use detailed claims-level data to better target improper overbilling. (JEL H51, I13, I18, J22, J44)
期刊介绍：
The American Economic Review (AER) stands as a prestigious general-interest economics journal. Founded in 1911, it holds the distinction of being one of the nation's oldest and most esteemed scholarly journals in economics. With a commitment to academic excellence, the AER releases 12 issues annually, featuring articles that span a wide spectrum of economic topics.
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