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Identifying Sources of Inefficiency in Healthcare
[“The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care,”]

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  • Amitabh Chandra
  • Douglas O Staiger

Abstract

In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. An alternative interpretation is that hospitals with greater expertise in a treatment use it more because of their comparative advantage, suggesting that standardization is misguided. A simple economic model provides an empirical framework to separate these explanations. Estimating this model with data for heart attack patients, we find evidence of substantial variation across hospitals in allocative inefficiency and comparative advantage, with most hospitals overusing treatment in part because of incorrect beliefs about their comparative advantage. A stylized welfare calculation suggests that eliminating allocative inefficiency would increase the total benefits from the treatment that we study by 44%.

Suggested Citation

  • Amitabh Chandra & Douglas O Staiger, 2020. "Identifying Sources of Inefficiency in Healthcare [“The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 785-843.
  • Handle: RePEc:oup:qjecon:v:135:y:2020:i:2:p:785-843.
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    File URL: http://hdl.handle.net/10.1093/qje/qjz040
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    1. Amitabh Chandra & Douglas O. Staiger, 2007. "Productivity Spillovers in Health Care: Evidence from the Treatment of Heart Attacks," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 103-140.
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    7. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    8. Joseph J. Doyle Jr. & John A. Graves & Jonathan Gruber & Samuel A. Kleiner, 2015. "Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 170-214.
    9. Janet Currie & W. Bentley MacLeod, 2017. "Diagnosing Expertise: Human Capital, Decision Making, and Performance among Physicians," Journal of Labor Economics, University of Chicago Press, vol. 35(1), pages 1-43.
    10. Jason Abaluck & Leila Agha & Chris Kabrhel & Ali Raja & Arjun Venkatesh, 2016. "The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care," American Economic Review, American Economic Association, vol. 106(12), pages 3730-3764, December.
    11. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Productivity Dispersion in Medicine and Manufacturing," American Economic Review, American Economic Association, vol. 106(5), pages 99-103, May.
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    4. Sebastian Calonico & Rafael Di Tella & Juan Cruz Lopez Del Valle, 2022. "Causal Inference During a Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina," NBER Working Papers 30084, National Bureau of Economic Research, Inc.
    5. Amitabh Chandra & Carrie H. Colla & Jonathan S. Skinner, 2023. "Productivity Variation and Input Misallocation: Evidence from Hospitals," NBER Working Papers 31569, National Bureau of Economic Research, Inc.
    6. Alice J. Chen & Elizabeth L. Munnich & Stephen T. Parente & Michael R. Richards, 2022. "Do Physicians Warm Up to Higher Medicare Prices? Evidence from Alaska," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(2), pages 394-425, March.
    7. Jason Abaluck & Leila Agha & David C. Chan Jr & Daniel Singer & Diana Zhu, 2020. "Fixing Misallocation with Guidelines: Awareness vs. Adherence," NBER Working Papers 27467, National Bureau of Economic Research, Inc.
    8. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    9. Jakub Cerveny & Jan C. van Ours, 2022. "Long-term returns to local health-care spending," Tinbergen Institute Discussion Papers 22-072/V, Tinbergen Institute.
    10. David Card & Alessandra Fenizia & David Silver, 2019. "The Health Impacts of Hospital Delivery Practices," NBER Working Papers 25986, National Bureau of Economic Research, Inc.
    11. Andy Ye Yuan & Bernard Black & Timea Viragh & David J. Magid & Qian Luo & Ali Moghtaderi, 2023. "Effect of financial incentives on hospital‐cardiologist integration and cardiac test location," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(3), pages 570-608, September.
    12. Amitabh Chandra & Maurice Dalton & Douglas O. Staiger, 2023. "Are Hospital Quality Indicators Causal?," NBER Working Papers 31789, National Bureau of Economic Research, Inc.
    13. Sebastian Calónico & Rafael Di Tella & Juan Cruz Lopez del Valle, 2023. "The Political Economy of a “Miracle Cure”: The Case of Nebulized Ibuprofen and its Diffusion in Argentina," NBER Working Papers 31781, National Bureau of Economic Research, Inc.
    14. Chen, Alice J. & Munnich, Elizabeth L. & Parente, Stephen T. & Richards, Michael R., 2023. "Provider turf wars and Medicare payment rules," Journal of Public Economics, Elsevier, vol. 218(C).
    15. Ity Shurtz, 2022. "Heuristic thinking in the workplace: Evidence from primary care," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1713-1729, August.
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    17. Chen, Simiao & Kuhn, Michael & Prettner, Klaus & Bloom, David E. & Wang, Chen, 2021. "Macro-level efficiency of health expenditure: Estimates for 15 major economies," Social Science & Medicine, Elsevier, vol. 287(C).
    18. Bäuml, Matthias & Dette, Tilman & Pollmann, Michael, 2022. "Price and income effects of hospital reimbursements," Journal of Health Economics, Elsevier, vol. 81(C).

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    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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