Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Reply
成果类型：
Article
署名作者：
Fang, Hanming; Gong, Qing
署名单位：
University of Pennsylvania; ShanghaiTech University; National Bureau of Economic Research; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
刊物名称：
AMERICAN ECONOMIC REVIEW
ISSN/ISSBN：
0002-8282
DOI：
10.1257/aer.20191970
发表日期：
2020
页码：
4004-4010
关键词：
摘要：
Matsumoto (2020) pointed out data and coding errors in Fang and Gong (2017). We show that these errors have limited impacts: all qualitative findings remain after correcting them. Matsumoto also discussed potential service overcounting in the aggregated utilization data we used to illustrate our method, and then quantified the extent of overcounting with a sample of Medicare claims. We acknowledge the issue but discuss the noise and the bias in his quantification. Overall, our proposed method remains useful, as regulators who are interested in applying the method are unlikely to be subject to the data limitations.
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