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Generic aversion and observational learning in the over-the-counter drug market

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  • Villas-Boas, Sofia B
  • Carrera, Mariana

Abstract

Through a labeling intervention at a national retailer, we test three hypotheses for consumer aversion to generic over the counter (OTC) drugs: lack of information on the comparability of generic and brand drugs, inattention to their price differences, and uncertainty about generic quality that can be reduced with information on peer purchase rates. With a difference-in-differences strategy, we find that posted information on the purchases of other customers increases generic purchase shares significantly, while the other treatments do not. Consumers without prior generic purchases appear particularly responsive to this information. These findings have policy implications for promoting evidence-based, cost-effective choices.

Suggested Citation

  • Villas-Boas, Sofia B & Carrera, Mariana, 2016. "Generic aversion and observational learning in the over-the-counter drug market," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0q03b5f2, Department of Agricultural & Resource Economics, UC Berkeley.
  • Handle: RePEc:cdl:agrebk:qt0q03b5f2
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    1. Mariana Carrera & Dana P. Goldman & Geoffrey Joyce & Neeraj Sood, 2018. "Do Physicians Respond to the Costs and Cost-Sensitivity of Their Patients?," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 113-152, February.
    2. Becker, Gary S, 1991. "A Note on Restaurant Pricing and Other Examples of Social Influences on Price," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 1109-1116, October.
    3. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    4. Hossain Tanjim & Morgan John, 2006. "...Plus Shipping and Handling: Revenue (Non) Equivalence in Field Experiments on eBay," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(2), pages 1-30, January.
    5. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    6. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 409-451.
    7. Michael Anderson & Jeremy Magruder, 2012. "Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database," Economic Journal, Royal Economic Society, vol. 122(563), pages 957-989, September.
    8. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2012. "Understanding Peer Effects in Financial Decisions: Evidence from a Field Experiment," NBER Working Papers 18241, National Bureau of Economic Research, Inc.
    9. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    10. Ackerberg, Daniel A, 2001. "Empirically Distinguishing Informative and Prestige Effects of Advertising," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 316-333, Summer.
    11. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    12. Wiggins, Steven N & Lane, W J, 1983. "Quality Uncertainty, Search, and Advertising," American Economic Review, American Economic Association, vol. 73(5), pages 881-894, December.
    13. David A. Reinstein & Christopher M. Snyder, 2005. "The Influence Of Expert Reviews On Consumer Demand For Experience Goods: A Case Study Of Movie Critics," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 27-51, March.
    14. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    15. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    16. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    17. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    18. Montgomery, Cynthia A & Wernerfelt, Birger, 1992. "Risk Reduction and Umbrella Branding," The Journal of Business, University of Chicago Press, vol. 65(1), pages 31-50, January.
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    Cited by:

    1. Carly Trachtman & Molly Dop & Sofia Villas-Boas, 2019. "Understanding the Influence of Brand Information in Online Purchase Decisions for Health Products," Springer Proceedings in Business and Economics, in: Francisco J. Martínez-López & Juan Carlos Gázquez-Abad & Anne Roggeveen (ed.), Advances in National Brand and Private Label Marketing, pages 197-204, Springer.

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