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Comparison Friction: Experimental Evidence from Medicare Drug Plans

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Listed:
  • Jeffrey R. Kling
  • Sendhil Mullainathan
  • Eldar Shafir
  • Lee C. Vermeulen
  • Marian V. Wrobel

Abstract

Consumers need information to compare alternatives for markets to function efficiently. Recognizing this, public policies often pair competition with easy access to comparative information. The implicit assumption is that comparison friction--the wedge between the availability of comparative information and consumers' use of it--is inconsequential because when information is readily available, consumers will access this information and make effective choices. We examine the extent of comparison friction in the market for Medicare Part D prescription drug plans in the United States. In a randomized field experiment, an intervention group received a letter with personalized cost information. That information was readily available for free and widely advertised. However, this additional step--providing the information rather than having consumers actively access it--had an impact. Plan switching was 28% in the intervention group, versus 17% in the comparison group, and the intervention caused an average decline in predicted consumer cost of about $100 a year among letter recipients--roughly 5% of the cost in the comparison group. Our results suggest that comparison friction can be large even when the cost of acquiring information is small and may be relevant for a wide range of public policies that incorporate consumer choice. Copyright 2012, Oxford University Press.

Suggested Citation

  • Jeffrey R. Kling & Sendhil Mullainathan & Eldar Shafir & Lee C. Vermeulen & Marian V. Wrobel, 2012. "Comparison Friction: Experimental Evidence from Medicare Drug Plans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 199-235.
  • Handle: RePEc:oup:qjecon:v:127:y:2012:i:1:p:199-235
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    1. Jason Abaluck & Jonathan Gruber, 2011. "Choice Inconsistencies among the Elderly: Evidence from Plan Choice in the Medicare Part D Program," American Economic Review, American Economic Association, vol. 101(4), pages 1180-1210, June.
    2. Claudio Lucarelli & Jeffrey Prince & Kosali Simon, 2012. "The Welfare Impact Of Reducing Choice In Medicare Part D: A Comparison Of Two Regulation Strategies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1155-1177, November.
    3. Jonathan D. Ketcham & Claudio Lucarelli & Eugenio J. Miravete & M. Christopher Roebuck, 2012. "Sinking, Swimming, or Learning to Swim in Medicare Part D," American Economic Review, American Economic Association, vol. 102(6), pages 2639-2673, October.
    4. Heiss, Florian & McFadden, Daniel L. & Winter, Joachim, 2006. "Who failed to enroll in Medicare Part D, and why? Early results," Munich Reprints in Economics 19427, University of Munich, Department of Economics.
    5. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    6. Fiona Scott Morton & Florian Zettelmeyer & Jorge Silva‐Risso, 2001. "Internet Car Retailing," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 501-519, December.
    7. Dana P. Goldman & Geoffrey F. Joyce & William B. Vogt, 2011. "Part D Formulary and Benefit Design as a Risk-Steering Mechanism," American Economic Review, American Economic Association, vol. 101(3), pages 382-386, May.
    8. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    9. Shlomo Benartzi & Richard H. Thaler, 2002. "How Much Is Investor Autonomy Worth?," Journal of Finance, American Finance Association, vol. 57(4), pages 1593-1616, August.
    10. Amy Finkelstein, 2010. "Comment on "Mind the Gap! Consumer Perceptions and Choices of Medicare Part D Prescription Drug Plans"," NBER Chapters, in: Research Findings in the Economics of Aging, pages 481-484, National Bureau of Economic Research, Inc.
    11. David Weil & Archon Fung & Mary Graham & Elena Fagotto, 2006. "The effectiveness of regulatory disclosure policies," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(1), pages 155-181.
    12. M. Kate Bundorf & Helena Szrek, 2010. "Choice Set Size and Decision Making: The Case of Medicare Part D Prescription Drug Plans," Medical Decision Making, , vol. 30(5), pages 582-593, September.
    13. Fiona Scott Morton & Florian Zettelmeyer & Jorge Silva-Risso, 2001. "Internet Car Retailing," NBER Chapters, in: E-commerce, pages 501-519, National Bureau of Economic Research, Inc.
    14. Florian Heiss & Daniel McFadden & Joachim Winter, 2010. "Mind the Gap! Consumer Perceptions and Choices of Medicare Part D Prescription Drug Plans," NBER Chapters, in: Research Findings in the Economics of Aging, pages 413-481, National Bureau of Economic Research, Inc.
    15. repec:bla:jindec:v:49:y:2001:i:4:p:501-19 is not listed on IDEAS
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    More about this item

    JEL classification:

    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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