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Rebates in the Pharmaceutical Industry: Evidence from Medicines Sold in Retail Pharmacies in the U.S

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Listed:
  • Pragya Kakani
  • Michael Chernew
  • Amitabh Chandra

Abstract

Rising list prices are often used to illustrate the burden of prescription drug spending, but payers routinely negotiate rebates from manufacturers that generate differences between list and net prices. List prices are easily available and affect patient cost-sharing, but net prices are confidential and affect innovation incentives. We use novel data on medicines sold in a retail setting to quantify rebate growth, the sensitivity of pharmaceutical price indices to list versus net prices, and contribution of net price growth to revenue growth. From 2012 to 2017, we find average rebates increased from 32% to 48%, owing entirely to growth in rebate-levels over a product lifetime rather than shifts towards high rebate products. Annual inflation of list prices was 12% while that of net prices was 3%, implying that financial rewards to manufacturers per unit sold have not grown proportionally to list prices. This pattern is mirrored in 19 of the 20 top drug classes by revenue including insulins, where list and net price inflation were 16% and 2% annually respectively. Finally, we find price growth explains 76% of revenue growth when measured by list prices but 31% of revenue growth when measured by net prices. Moreover, new product entry is the most important factor affecting pharmaceutical revenue growth. These findings provide a cautionary note on using list prices for policy analysis.

Suggested Citation

  • Pragya Kakani & Michael Chernew & Amitabh Chandra, 2020. "Rebates in the Pharmaceutical Industry: Evidence from Medicines Sold in Retail Pharmacies in the U.S," NBER Working Papers 26846, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26846
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    References listed on IDEAS

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    1. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    2. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth: Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372, National Bureau of Economic Research, Inc.
    3. 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.
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    Cited by:

    1. Amitabh Chandra & Courtney Coile & Corina Mommaerts, 2023. "What Can Economics Say about Alzheimer's Disease?," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 428-470, June.
    2. Dubois, Pierre & Majewska, Gosia, 2022. "Mergers and Advertising in the Pharmaceutical Industry," CEPR Discussion Papers 17658, C.E.P.R. Discussion Papers.
    3. Amanda C. Cook & E. Tice Sirmans & Brenda Wells, 2024. "Does the legalisation of cannabis for medicinal use impact private health insurer prescription drug expenditures?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 212-226, January.
    4. Leila Agha & Soomi Kim & Danielle Li, 2020. "Insurance Design and Pharmaceutical Innovation," NBER Working Papers 27563, National Bureau of Economic Research, Inc.
    5. Liang, Guitian & Gu, Chaocheng, 2021. "The value of target sales rebate contracts in a supply chain with downstream competition," International Journal of Production Economics, Elsevier, vol. 242(C).

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    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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