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The Effects of Publicity on Demand: The Case of Anti-cholesterol Drugs

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  • Andrew Ching
  • Robert Clark
  • Ignatius Horstmann
  • Hyunwoo Lim

Abstract

Over the past ten years there has been increased recognition of the importance of publicity as a means of generating product awareness. Despite this, previous research has seldom investigated the impact of publicity on demand. We contribute to the literature by (i) proposing a new method for the interpretation of publicity data, one that maps the information in news articles (or broadcasts) to a multi-dimensional attribute space; (ii) investigating how different types of publicity affect demand; and (iii) investigating how different types of publicity interact with firms? own marketing communication efforts. We study these issues for statins. We find that publicity plays an important role both for expanding the market for statins and for determining which statins patients/physicians choose. We also find evidence that publicity can serve as either a substitute or a complement for traditional marketing channels depending on the complexity of the information type. We argue that the interaction results are driven by the relative strengths of the corroborative and rational inattention functions in publicity. These results suggest that managers should be aware of the interactions between publicity and traditional marketing channels in order to better determine how to allocate their marketing expenditures.

Suggested Citation

  • Andrew Ching & Robert Clark & Ignatius Horstmann & Hyunwoo Lim, 2015. "The Effects of Publicity on Demand: The Case of Anti-cholesterol Drugs," Working Papers 150007, Canadian Centre for Health Economics.
  • Handle: RePEc:cch:wpaper:150007
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    Cited by:

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    3. Susan J. Méndez, 2018. "Parallel trade of pharmaceuticals: The Danish market for statins," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 333-356, February.
    4. Simon P. Anderson & Federico Ciliberto & Jura Liaukonyte & Régis Renault, 2016. "Push-me pull-you: comparative advertising in the OTC analgesics industry," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 1029-1056, November.
    5. Balat, Jorge & Papageorge, Nicholas W. & Qayyum, Shaiza, 2017. "Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment," IZA Discussion Papers 10919, Institute of Labor Economics (IZA).
    6. Andrew T. Ching & Hyunwoo Lim, 2020. "A Structural Model of Correlated Learning and Late-Mover Advantages: The Case of Statins," Management Science, INFORMS, vol. 66(3), pages 1095-1123, March.
    7. Janssen, Aljoscha & Granlund, David, 2022. "The Importance of the First Generic Substitution: Evidence from Sweden," Working Paper Series 1428, Research Institute of Industrial Economics.
    8. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
    9. Castanheira, Micael & Ornaghi, Carmine & Siotis, Georges, 2019. "The unexpected consequences of generic entry," Journal of Health Economics, Elsevier, vol. 68(C).
    10. Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.
    11. Yang Gao & Wenjing Duan & Huaxia Rui, 2022. "Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry," Information Systems Research, INFORMS, vol. 33(3), pages 954-977, September.
    12. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
    13. Tuncel, Tuba, 2022. "Should We Prevent Off-Label Drug Prescriptions? Empirical Evidence from France," TSE Working Papers 22-1383, Toulouse School of Economics (TSE).
    14. Qiang Liu & Sachin Gupta & Sriram Venkataraman & Hongju Liu, 2016. "An Empirical Model of Drug Detailing: Dynamic Competition and Policy Implications," Management Science, INFORMS, vol. 62(8), pages 2321-2340, August.
    15. McKibbin, Rebecca, 2023. "The effect of RCTs on drug demand: Evidence from off-label cancer drugs," Journal of Health Economics, Elsevier, vol. 90(C).
    16. Suppliet, Moritz, 2020. "Umbrella branding in pharmaceutical markets," Journal of Health Economics, Elsevier, vol. 73(C).
    17. Anita Rao, 2020. "Strategic Research and Development Investment Decisions in the Pharmaceutical Industry," Marketing Science, INFORMS, vol. 39(3), pages 564-586, May.
    18. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
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    20. Rebecca McKibbin & Bruce A. Weinberg, 2021. "Does Research Save Lives? The Local Spillovers of Biomedical Research on Mortality," NBER Working Papers 29420, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    publicity; informative detailing and advertising; information complements and substitutes; corroborative evidence; rational inattention; demand; prescription drugs;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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