Detecting potential overbilling in Medicare reimbursement via hours worked: Reply (Record no. 517634)

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fixed length control field 01144nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210722b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Fang, Hanming and Gong, Qing
245 ## - TITLE STATEMENT
Title Detecting potential overbilling in Medicare reimbursement via hours worked: Reply
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc The American Economic Review
300 ## - PHYSICAL DESCRIPTION
Extent 110(12), Dec, 2020: p.4004-4010
520 ## - SUMMARY, ETC.
Summary, etc 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. – Reproduced
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Health Insurance
9 (RLIN) 27328
773 ## - HOST ITEM ENTRY
Main entry heading The American Economic Review
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP PUBLIC HEALTH
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2021-07-22 110(12), Dec, 2020: p.4004-4010 AR124910 2021-07-22 Articles

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