Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked
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Other versions of this item:
- Hanming Fang & Qing Gong, 2017. "Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked," American Economic Review, American Economic Association, vol. 107(2), pages 562-591, February.
- Hanming Fang & Qing Gong, 2016. "Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked," NBER Working Papers 22084, National Bureau of Economic Research, Inc.
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- Shubhranshu Shekhar & Jetson Leder-Luis & Leman Akoglu, 2023. "Unsupervised Machine Learning for Explainable Health Care Fraud Detection," NBER Working Papers 30946, National Bureau of Economic Research, Inc.
- Ronelle Burger & Canh Thien Dang & Trudy Owens, 2017. "Better performing NGOs do report more accurately: Evidence from investigating Ugandan NGO financial accounts," Discussion Papers 2017-10, University of Nottingham, CREDIT.
- Cook, Amanda & Averett, Susan, 2020. "Do hospitals respond to changing incentive structures? Evidence from Medicare’s 2007 DRG restructuring," Journal of Health Economics, Elsevier, vol. 73(C).
- Thuy Nguyen & Victoria Perez, 2020. "Privatizing Plaintiffs: How Medicaid, the False Claims Act, and Decentralized Fraud Detection Affect Public Fraud Enforcement Efforts," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 1063-1091, December.
- Dang, Canh Thien & Owens, Trudy, 2020.
"Does transparency come at the cost of charitable services? Evidence from investigating British charities,"
Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 314-343.
- Canh Thien Dang & Trudy Owens, 2019. "Does transparency come at the cost of charitable services? Evidence from investigating British charities," Discussion Papers 2019-02, University of Nottingham, CREDIT.
- Dang, Canh Thien & Owens, Trudy, 2020. "Does transparency come at the cost of charitable services? Evidence from investigating British charities," LSE Research Online Documents on Economics 103943, London School of Economics and Political Science, LSE Library.
- Simon Reif & Lucas Hafner & Michael Seebauer, 2020.
"Physician Behavior under Prospective Payment Schemes—Evidence from Artefactual Field and Lab Experiments,"
IJERPH, MDPI, vol. 17(15), pages 1-37, July.
- Hafner, Lucas & Reif, Simon & Seebauer, Michael, 2017. "Physician behavior under prospective payment schemes: Evidence from artefactual field and lab experiments," FAU Discussion Papers in Economics 18/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Xidong Guo, 2024. "An analysis of a rural hospital's investment decision under different payment systems," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 714-747, April.
- David C Chan & Michael J Dickstein, 2019. "Industry Input in Policy Making: Evidence from Medicare," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1299-1342.
- David C. Chan, Jr & Michael J. Dickstein, 2018. "Industry Input in Policymaking: Evidence from Medicare," NBER Working Papers 24354, National Bureau of Economic Research, Inc.
- Farbmacher, Helmut & Löw, Leander & Spindler, Martin, 2022. "An explainable attention network for fraud detection in claims management," Journal of Econometrics, Elsevier, vol. 228(2), pages 244-258.
- Victoria Perez & Coady Wing, 2019.
"Should We Do More to Police Medicaid Fraud? Evidence on the Intended and Unintended Consequences of Expanded Enforcement,"
American Journal of Health Economics, University of Chicago Press, vol. 5(4), pages 481-508, Fall.
- Victoria Perez & Coady Wing, 2019. "Should We Do More to Police Medicaid Fraud? Evidence on the Intended and Unintended Consequences of Expanded Enforcement," American Journal of Health Economics, MIT Press, vol. 5(4), pages 481-508, Fall.
- Hanming Fang & Qing Gong, 2020. "Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Reply," American Economic Review, American Economic Association, vol. 110(12), pages 4004-4010, December.
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Keywords
; ; ;JEL classification:
- D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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