Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked (AER 2017)

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When last checked on May 2, 2019, a replication of this study was forthcoming in the American Economic Review.



Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
Hanming Fang, Qing Gong Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked AER 2017 2 562-91 H51, I13, I18, J22 -

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
1 - accessible on journal website 1 - accessible on journal website 1 - accessible on journal website - - Medicare Part B Fee-for-Service (FFS) Physician Utilization and Payment Data in 2012 and 2013 released by the Centers for Medicare and Medicaid Services, Physician Compare National, Physician Fee Schedules, National Ambulatory Medical Care Survey (NAMCS) USA Stata

Replication of this study

Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement
Brett Matsumoto Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Comment AER forthcoming - - - - - - - - -

References

DOI: 10.1257/aer.20160349 IDEAS: a/aea/aecrev/v107y2017i2p562-91.html EconPapers: RePEc:aea:aecrev:v:107:y:2017:i:2:p:562-91


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