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Detecting Medicare Abuse
David J. Becker University of Alabama at Birmingham -- School of Public Health Daniel P. Kessler Stanford Graduate School of Business; National Bureau of Economic Research (NBER) Mark B. McClellan Brookings Institution; Council of Economic Advisors; National Bureau of Economic Research (NBER); Stanford Graduate School of Business August 2004 NBER Working Paper No. W10677 Abstract: This paper identifies which types of patients and hospitals have abusive Medicare billings that are responsive to law enforcement. For a 20 percent random sample of elderly Medicare beneficiaries hospitalized from 1994-98 with one or more of six illnesses that are prone to abuse, we obtain longitudinal claims data linked with Social Security death records, hospital characteristics, and state/year-level anti-fraud enforcement efforts. We show that increased enforcement leads certain types of types of patients and hospitals to have lower billings, without adverse consequences for patients' health outcomes.
JEL Classifications: I1, K0, K4, L5 Working Paper SeriesDate posted: September 06, 2004 ; Last revised: September 21, 2004Suggested CitationContact Information
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