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An Empirical Model of Heterogeneous Consumer Search for Retail Prescription Drugs

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  • Alan T. Sorensen

Abstract

This paper uses detailed data on retail pharmacy transactions to make inferences about the nature and intensity of consumer search for prescription drugs. Prescription prices exhibit patterns that should, in principle, induce search: in particular, prices vary widely across stores, and stores' price rankings are inconsistent across drugs (so the low-price pharmacy is different for one prescription vs. another). Estimates from a model of pharmacy choice suggest that search intensities are generally low: I estimate that for a typical prescription, the fraction of consumers that price-shops is approximately 5-10 percent. However, variation in this estimated search intensity across drugs is substantial and appears to be consistent with explanations based on rational search; for instance, price-shopping is more prevalent for maintenance medications than for one-time purchases, presumably because the benefits of finding a low price are magnified for prescriptions that are purchased repeatedly. Under some relatively strong assumptions imposed by the empirical model, the data also identify parameters of a search cost distribution, suggesting that the cost of conducting an exhaustive price search is approximately $15 for the average consumer.

Suggested Citation

  • Alan T. Sorensen, 2001. "An Empirical Model of Heterogeneous Consumer Search for Retail Prescription Drugs," NBER Working Papers 8548, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8548
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    References listed on IDEAS

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    Cited by:

    1. Sailer, Katharina, 2006. "Searching the eBay Marketplace," Discussion Papers in Economics 1234, University of Munich, Department of Economics.
    2. Castilla, Carolina & Haab, Timothy C., 2010. "Asymmetric Search and Loss Aversion: Choice Experiment on Consumer Willingness to Search in the Gasoline Retail Market," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61672, Agricultural and Applied Economics Association.
    3. Jason Allen & Robert Clark & Jean-François Houde, 2019. "Search Frictions and Market Power in Negotiated-Price Markets," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1550-1598.
    4. Carvalho, M., 2011. "Essays in behavioral microeconomic theory," Other publications TiSEM 97fbb10e-5f12-420b-b8c4-e, Tilburg University, School of Economics and Management.
    5. Moraga-González, José Luis & Wildenbeest, Matthijs R., 2008. "Maximum likelihood estimation of search costs," European Economic Review, Elsevier, vol. 52(5), pages 820-848, July.
    6. Maarten C.W. Janssen & Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 2004. "Consumer Search and Oligopolistic Pricing: An Empirical Investigation," Tinbergen Institute Discussion Papers 04-071/1, Tinbergen Institute.
    7. Adriana Lleras-Muney & Frank R. Lichtenberg, 2002. "The Effect of Education on Medical Technology Adoption: Are the More Educated More Likely to Use New Drugs," NBER Working Papers 9185, National Bureau of Economic Research, Inc.
    8. Emin M. Dinlersoz & Ruben Hernandez-Murillo & Han Li & Roger Sherman, 2008. "Drug prices under the medicare drug discount card program," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 643-666.
    9. Carvalho, M., 2009. "Price Recall, Bertrand Paradox and Price Dispersion With Elastic Demand," Discussion Paper 2009-69, Tilburg University, Center for Economic Research.
    10. Miroslav Gabrovski & Victor Ortego-Marti, 2022. "Home Construction Financing and Search Frictions in the Housing Market," Working Papers 202217, University of California at Riverside, Department of Economics.
    11. Jason Allen & Robert Clark & Jean-Fran?ois Houde, 2014. "The Effect of Mergers in Search Markets: Evidence from the Canadian Mortgage Industry," American Economic Review, American Economic Association, vol. 104(10), pages 3365-3396, October.
    12. Jason Allen & Shaoteng Li, 2020. "Dynamic Competition in Negotiated Price Markets," Staff Working Papers 20-22, Bank of Canada.
    13. Borrescio-Higa, Florencia, 2015. "Can Walmart make us healthier? Prescription drug prices and health care utilization," Journal of Health Economics, Elsevier, vol. 44(C), pages 37-53.
    14. Bolhaar J & Lindeboom M & van der Klaauw B, 2009. "Insurance Search and Switching Behaviour at the time of the Dutch Health Insurance Reform," Health, Econometrics and Data Group (HEDG) Working Papers 09/14, HEDG, c/o Department of Economics, University of York.
    15. Lindeboom, Maarten & van der Klaauw, Bas & Bolhaar, Jonneke, 2010. "Insurance Search and Switching Behavior," CEPR Discussion Papers 7942, C.E.P.R. Discussion Papers.
    16. Florencia Borrescio, 2014. "Can Walmart make us healthier? The effect of Market Forces on Health Care Utilization," Working Papers wp_042, Adolfo Ibáñez University, School of Government.
    17. Erik Brynjolfsson & Astrid Dick & Michael Smith, 2010. "A nearly perfect market?," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 1-33, March.
    18. Baohong Sun, 2006. "—Dynamic Structural Consumer Models and Current Marketing Issues," Marketing Science, INFORMS, vol. 25(6), pages 625-628, 11-12.
    19. Ian M. McCarthy & Rusty Tchernis, 2010. "Search costs and Medicare plan choice," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1142-1165, October.
    20. Carvalho, M., 2009. "Price Recall, Bertrand Paradox and Price Dispersion With Elastic Demand," Other publications TiSEM c00b849b-641f-43ed-a493-3, Tilburg University, School of Economics and Management.
    21. Maarten C.W. Janssen & Jose Luis Moraga-Gonzalez, 2007. "On Mergers in Consumer Search Markets," Tinbergen Institute Discussion Papers 07-054/1, Tinbergen Institute.
    22. Sergei Koulayev, 2008. "Estimating search with learning," Working Papers 08-29, NET Institute, revised Oct 2008.

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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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