Data and Code for: Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Reply
收藏ICPSR2020-01-01 更新2026-04-16 收录
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资源简介：
Matsumoto (forthcoming) 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 over-counting in the aggregated utilization data we used to illustrate our method, and then quantified the extent of over-counting 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.
提供机构：
University of Pennsylvania. Department of Economics; University of North Carolina-Chapel Hill
创建时间：
2020-01-01
