ArticleAmerican economic journal. Applied economics2019
Health Care Spending and Utilization in Public and Private Medicare.
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Article in American economic journal. Applied economics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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63citing papers in PubMed
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Who cites it
63 citing papers in PubMed.
- Clinical and Economic Burden of Obesity and Cardiovascular Disease Among Medicare Fee-For-Service Beneficiaries.Diabetes, obesity & metabolism · 2026Article
- Transcatheter Aortic Valve Replacement (TAVR) in Medicare Advantage and Medicare Fee-for-Service: Differences in Patient Characteristics, Utilization, and Outcomes.Circulation. Population health and outcomes · 2026Article
- Primary Care Cost Sharing in Medicare Advantage.JAMA health forum · 2026Article
- Advancing the measurement of favorable selection in Medicare Advantage: evidence from encounter data.Health affairs scholar · 2026Article
- Telehealth among Medicare Advantage beneficiaries with and without Alzheimer's Disease and Related Dementias (ADRD), 2018-2024: from pandemic-era surge to post-pandemic decline.BMC health services research · 2026Observational
- Risk Adjustment for Alzheimer Disease and Related Dementias in Medicare Advantage and Health Care Experiences.JAMA network open · 2026Article
- Algorithmic decision-making in health care: Evidence from post-acute care in Medicare Advantage.Journal of health economics · 2025Article
- Identifying Coding Intensity in Medicare Advantage Through Switchers.Health services research · 2025Article
- Postacute Care Use and Outcomes Among Medicare Advantage vs Traditional Medicare Beneficiaries.JAMA network open · 2025Article
- Medicare Advantage Has Lower Resource Use and Better Quality of Care than Traditional Medicare.American journal of health economics · 2025Article
- Perioperative Costs of Elective Surgical Procedures in Medicare Advantage Compared With Traditional Medicare.JAMA health forum · 2025Article
- Medicare Advantage Plan Spending and Payments Under the Hospice Carve-Out.JAMA network open · 2025Article
- Payment Source Shift for Surgical Care Among Veterans Enrolled in Medicare Advantage Plans.JAMA health forum · 2025Article
- Medicare Risk Arrangement and Use and Outcomes Among Physician Groups.JAMA network open · 2025Article
- Coding intensity variation in Medicare Advantage.Health affairs scholar · 2025Article
- Utilization of Diabetes Self-Management Education and Support Among Medicare Beneficiaries Newly Diagnosed With Diabetes in Arkansas, 12 Months Postdiagnosis (2015-2018).The science of diabetes self-management and care · 2024Article
- Minimally invasive colorectal cancer surgery: an observational study of medicare advantage and fee-for-service beneficiaries.Surgical endoscopy · 2024Observational
- Resource Use and Care Quality Differences Among Medicare Beneficiaries Undergoing Chemotherapy.JAMA network open · 2024Article
- Total and Out-of-Pocket Costs Surrounding Emergency Department Care Among Older Adults Enrolled in Traditional Medicare and Medicare Advantage.Annals of emergency medicine · 2024Article
- Medicare Advantage growth and skilled nursing facility finances.Health services research · 2024Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Vilsa CurtoCurto: Department of Health Policy and Management, T.H. Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA 02115 (vcurto@hsph.harvard.edu); Einav: Department of Economics, Stanford University, 579 Serra Mall, Stanford, CA 94305-6072 (leinav@stanford.edu) and NBER; Finkelstein: Department of Economics, MIT, 50 Memorial Drive, Cambrdige, MA 02142-1347 (afink@mit.edu) and NBER; Levin: Graduate School of Business, Stanford University, 655 Knight Way, Stanford, CA 94305-7298 (jdlevin@stanford.edu) and NBER; Bhattacharya: School of Medicine, Stanford University, 616 Serra Street, Stanford, CA 94305-6019 (jay@stanford.edu). We are grateful to Diego Jimenez, Andelyn Russell, Daniel Salmon, and Martina Uccioli for excellent research assistance. We thank the Editor, three anonymous referees, and numerous seminar participants for helpful comments. We gratefully acknowledge support from the NSF (SES-1527942, Bhattacharya, Einav, and Levin), the NIA (R01 AG032449, Einav and Finkelstein; R37 AG036791, Bhattacharya), and the Sloan Foundation (Bhattacharya, Einav, Finkelstein, and Levin). The authors acknowledge the assistance of the Health Care Cost Institute (HCCI) and its data contributors, Aetna, Humana, and UnitedHealthcare, in providing the claims data analyzed in this study.
Liran EinavCurto: Department of Health Policy and Management, T.H. Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA 02115 (vcurto@hsph.harvard.edu); Einav: Department of Economics, Stanford University, 579 Serra Mall, Stanford, CA 94305-6072 (leinav@stanford.edu) and NBER; Finkelstein: Department of Economics, MIT, 50 Memorial Drive, Cambrdige, MA 02142-1347 (afink@mit.edu) and NBER; Levin: Graduate School of Business, Stanford University, 655 Knight Way, Stanford, CA 94305-7298 (jdlevin@stanford.edu) and NBER; Bhattacharya: School of Medicine, Stanford University, 616 Serra Street, Stanford, CA 94305-6019 (jay@stanford.edu). We are grateful to Diego Jimenez, Andelyn Russell, Daniel Salmon, and Martina Uccioli for excellent research assistance. We thank the Editor, three anonymous referees, and numerous seminar participants for helpful comments. We gratefully acknowledge support from the NSF (SES-1527942, Bhattacharya, Einav, and Levin), the NIA (R01 AG032449, Einav and Finkelstein; R37 AG036791, Bhattacharya), and the Sloan Foundation (Bhattacharya, Einav, Finkelstein, and Levin). The authors acknowledge the assistance of the Health Care Cost Institute (HCCI) and its data contributors, Aetna, Humana, and UnitedHealthcare, in providing the claims data analyzed in this study.
Amy FinkelsteinCurto: Department of Health Policy and Management, T.H. Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA 02115 (vcurto@hsph.harvard.edu); Einav: Department of Economics, Stanford University, 579 Serra Mall, Stanford, CA 94305-6072 (leinav@stanford.edu) and NBER; Finkelstein: Department of Economics, MIT, 50 Memorial Drive, Cambrdige, MA 02142-1347 (afink@mit.edu) and NBER; Levin: Graduate School of Business, Stanford University, 655 Knight Way, Stanford, CA 94305-7298 (jdlevin@stanford.edu) and NBER; Bhattacharya: School of Medicine, Stanford University, 616 Serra Street, Stanford, CA 94305-6019 (jay@stanford.edu). We are grateful to Diego Jimenez, Andelyn Russell, Daniel Salmon, and Martina Uccioli for excellent research assistance. We thank the Editor, three anonymous referees, and numerous seminar participants for helpful comments. We gratefully acknowledge support from the NSF (SES-1527942, Bhattacharya, Einav, and Levin), the NIA (R01 AG032449, Einav and Finkelstein; R37 AG036791, Bhattacharya), and the Sloan Foundation (Bhattacharya, Einav, Finkelstein, and Levin). The authors acknowledge the assistance of the Health Care Cost Institute (HCCI) and its data contributors, Aetna, Humana, and UnitedHealthcare, in providing the claims data analyzed in this study.
Jonathan LevinCurto: Department of Health Policy and Management, T.H. Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA 02115 (vcurto@hsph.harvard.edu); Einav: Department of Economics, Stanford University, 579 Serra Mall, Stanford, CA 94305-6072 (leinav@stanford.edu) and NBER; Finkelstein: Department of Economics, MIT, 50 Memorial Drive, Cambrdige, MA 02142-1347 (afink@mit.edu) and NBER; Levin: Graduate School of Business, Stanford University, 655 Knight Way, Stanford, CA 94305-7298 (jdlevin@stanford.edu) and NBER; Bhattacharya: School of Medicine, Stanford University, 616 Serra Street, Stanford, CA 94305-6019 (jay@stanford.edu). We are grateful to Diego Jimenez, Andelyn Russell, Daniel Salmon, and Martina Uccioli for excellent research assistance. We thank the Editor, three anonymous referees, and numerous seminar participants for helpful comments. We gratefully acknowledge support from the NSF (SES-1527942, Bhattacharya, Einav, and Levin), the NIA (R01 AG032449, Einav and Finkelstein; R37 AG036791, Bhattacharya), and the Sloan Foundation (Bhattacharya, Einav, Finkelstein, and Levin). The authors acknowledge the assistance of the Health Care Cost Institute (HCCI) and its data contributors, Aetna, Humana, and UnitedHealthcare, in providing the claims data analyzed in this study.
Jay BhattacharyaCurto: Department of Health Policy and Management, T.H. Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA 02115 (vcurto@hsph.harvard.edu); Einav: Department of Economics, Stanford University, 579 Serra Mall, Stanford, CA 94305-6072 (leinav@stanford.edu) and NBER; Finkelstein: Department of Economics, MIT, 50 Memorial Drive, Cambrdige, MA 02142-1347 (afink@mit.edu) and NBER; Levin: Graduate School of Business, Stanford University, 655 Knight Way, Stanford, CA 94305-7298 (jdlevin@stanford.edu) and NBER; Bhattacharya: School of Medicine, Stanford University, 616 Serra Street, Stanford, CA 94305-6019 (jay@stanford.edu). We are grateful to Diego Jimenez, Andelyn Russell, Daniel Salmon, and Martina Uccioli for excellent research assistance. We thank the Editor, three anonymous referees, and numerous seminar participants for helpful comments. We gratefully acknowledge support from the NSF (SES-1527942, Bhattacharya, Einav, and Levin), the NIA (R01 AG032449, Einav and Finkelstein; R37 AG036791, Bhattacharya), and the Sloan Foundation (Bhattacharya, Einav, Finkelstein, and Levin). The authors acknowledge the assistance of the Health Care Cost Institute (HCCI) and its data contributors, Aetna, Humana, and UnitedHealthcare, in providing the claims data analyzed in this study.
Funding
Determinants of Elderly Health: The Role of Place-Based FactorsR37AG032449 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FINKELSTEIN, AMY N. · 2020 to 2025
$5.9MThe Design of Social Insurance for the Elderly: Public Pensions & Health InsurancR01AG032449 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI EINAV, LIRAN, FINKELSTEIN, AMY N. · 2009 to 2019
$5.6MEstimating the Potential Medicare Savings from Comparative Effectiveness ResearchR37AG036791 · NIA · STANFORD UNIVERSITY · PI GARBER, ALAN MICHAEL · 2011 to 2016
$2.4MNIA NIH HHS R01 AG032449NIA NIH HHS R37 AG032449NIA NIH HHS R37 AG036791
Abstract
We compare healthcare spending in public and private Medicare using newly available claims data from Medicare Advantage (MA) insurers. MA insurer revenues are 30 percent higher than their healthcare spending. Adjusting for enrollee mix, healthcare spending per enrollee in MA is 9 to 30 percent lower than in traditional Medicare (TM), depending on the way we define "comparable" enrollees. Spending differences primarily reflect differences in healthcare utilization, with similar reductions for "high value" and "low value" care, rather than healthcare prices. We present evidence consistent with MA plans encouraging substitution to less expensive care and engaging in utilization management. (
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