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Determinants of Generic vs. Brand Drug Choice: Evidence from Population-wide Danish Data

Author

Listed:
  • Niels Skipper

    (Department of Economics and Business, Aarhus University)

  • Rune Vejlin

    (Department of Economics and Business, Aarhus University)

Abstract

When prescription medications go off patent, vastly cheaper generic drugs usually enters the market. However, the original brand medication often maintains non-negligible market shares. This paper investigates whether demand for branded medications in post-patent markets is patient- or doctor driven. We use population-wide Danish register data including all prescriptions for seven blockbuster drugs from 1998-2008. At the outset, descriptive statistics suggest large variation in drug choice over doctors. Nonetheless, using a two-way fixed effects model we find that the primary determinants of brand drug use are unobserved patient characteristics and price effects, while observed and unobserved doctor characteristics in general explain only 0.7 % of the variation in drug choice. This is suggestive evidence that the doctors in the Danish setting with no incentives to push expensive brand drugs do indeed not do so. Our results also suggest that one should be careful when applying fixed effects in small samples.

Suggested Citation

  • Niels Skipper & Rune Vejlin, 2013. "Determinants of Generic vs. Brand Drug Choice: Evidence from Population-wide Danish Data," Economics Working Papers 2013-05, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:aarhec:2013-05
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    Cited by:

    1. Granlund, David & Sundström, David, 2018. "Physicians prescribing originals causes welfare losses," Economics Letters, Elsevier, vol. 170(C), pages 143-146.
    2. Ito, Yuki & Hara, Konan & Kobayashi, Yasuki, 2020. "The effect of inertia on brand-name versus generic drug choices," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 364-379.
    3. Kaiser, Ulrich & Mendez, Susan J. & Rønde, Thomas & Ullrich, Hannes, 2014. "Regulation of pharmaceutical prices: Evidence from a reference price reform in Denmark," Journal of Health Economics, Elsevier, vol. 36(C), pages 174-187.
    4. Dag Morten Dalen & Marilena Locatelli & Steinar Strøm, 2018. "An Equilibrium Model Estimated on Pharmaceutical Data," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(3), pages 281-296, September.
    5. David Zimmer, 2018. "Did the Demand for Crestor Shrink when Lipitor’s Patent Expired?," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 139-149, June.
    6. Shen, Menghan & Liang, Xiaoxia & Wu, Han, 2025. "The impact of bioequivalence regulation on pharmaceutical firm outcomes: Evidence from China," Social Science & Medicine, Elsevier, vol. 380(C).
    7. Nunes, Alexandre Morais & Ferreira, Diogo Cunha & de Matos, Andreia & Julião, Rui Miranda, 2020. "The Portuguese generic medicines market: What’s next?," Health Policy, Elsevier, vol. 124(4), pages 397-403.
    8. Lins Ferreira, Vinicius & Pereira da Veiga, Cássia Rita & Kudlawicz-Franco, Claudineia & Scalercio, Priscila & Ramires, Yohanna & Pontarolo, Roberto & Carvalho, Denise Maria W. & da Veiga, Claudimar , 2017. "Generic drugs in times of economic crisis: Are there changes in consumer purchase intention?," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 1-7.
    9. Izhak, Olena, 2019. "Extra costs of integrity: Pharmacy markups and generic substitution in Finland," DICE Discussion Papers 307, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    10. Fiorentini, Gianluca & Bruni, Matteo Lippi & Mammi, Irene, 2022. "The same old medicine but cheaper: The impact of patent expiry on physicians’ prescribing behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 37-68.

    More about this item

    Keywords

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    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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