000			01144nam a22001577a 4500
999			_c517634 _d517634
008			210722b ||||| |||| 00| 0 eng d
100			_aFang, Hanming and Gong, Qing _927327
245			_aDetecting potential overbilling in Medicare reimbursement via hours worked: Reply
260			_aThe American Economic Review
300			_a110(12), Dec, 2020: p.4004-4010
520			_aMatsumoto (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. – Reproduced
650			_aHealth Insurance _927328
773			_aThe American Economic Review
906			_aPUBLIC HEALTH
942			_cAR