Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked
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- 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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- 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.
- 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.
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- 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.
- 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.
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- 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.
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More about this item
Keywords
Medicare; Overbilling; Hours worked;All these 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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