IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/2744.html

Network effects and diffusion in pharmaceutical markets : antiulcer drugs

Author

Listed:
  • Berndt, Ernst R.
  • Pindyck, Robert S.
  • Azoulay, Pierre, 1970-

Abstract

We examine the role of network effects in the demand for pharmaceuticals at both the brand level and for a therapeutic class of drugs. These effects emerge when use of a drug by others conveys information about its efficacy and safety to patients and physicians. This can lead to herd behavior where a particular drug -- not necessarily the most efficacious or safest -- can come to dominate the market despite the availability of close substitutes, and can also affect the rate of market diffusion. Using data for H2-antagonist antiulcer drugs, we examine two aspects of these effects. First, we use hedonic price procedures to estimate how the aggregate usage of a drug affects brand valuation. Second, we estimate discrete-time diffusion models at both the industry and brand levels to measure the impact on rates of diffusion and market saturation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Berndt, Ernst R. & Pindyck, Robert S. & Azoulay, Pierre, 1970-, 1998. "Network effects and diffusion in pharmaceutical markets : antiulcer drugs," Working papers WP 4059-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  • Handle: RePEc:mit:sloanp:2744
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/2744
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ernst R. Berndt & Linda T. Bui & David H. Lucking-Reiley & Glen L. Urban, 1996. "The Roles of Marketing, Product Quality, and Price Competition in the Growth and Composition of the U.S. Antiulcer Drug Industry," NBER Chapters, in: The Economics of New Goods, pages 277-328, National Bureau of Economic Research, Inc.
    2. Daniel P. Kessler & Mark McClellan, 1996. "Do Doctors Practice Defensive Medicine?," NBER Working Papers 5466, National Bureau of Economic Research, Inc.
    3. Sara Ellison Fisher & Iain Cockburn & Zvi Griliches & Jerry Hausman, 1997. "Characteristics of Demand for Pharmaceutical Products: An Examination of Four Cephalosporins," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 426-446, Autumn.
    4. Iain M. Cockburn & Aslam H. Anis, 2001. "Hedonic Analysis of Arthritis Drugs," NBER Chapters, in: Medical Care Output and Productivity, pages 439-462, National Bureau of Economic Research, Inc.
    5. Zvi Griliches, 1958. "Research Costs and Social Returns: Hybrid Corn and Related Innovations," Journal of Political Economy, University of Chicago Press, vol. 66(5), pages 419-419.
    6. Ernst R. Berndt & Iain M. Cockburn & Zvi Griliches, 1996. "Pharmaceutical Innovations and Market Dynamics: Tracking Effects on Price Indexes for Antidepressant Drugs," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1996 Micr), pages 133-199.
    7. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    8. repec:fth:harver:1473 is not listed on IDEAS
    9. Erik Brynjolfsson & Chris F. Kemerer, 1996. "Network Externalities in Microcomputer Software: An Econometric Analysis of the Spreadsheet Market," Management Science, INFORMS, vol. 42(12), pages 1627-1647, December.
    10. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    11. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    12. Daniel Kessler & Mark McClellan, 1996. "Do Doctors Practice Defensive Medicine?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 353-390.
    13. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    14. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    15. Berndt, Ernst R, et al, 1995. "Information, Marketing, and Pricing in the U.S. Antiulcer Drug Market," American Economic Review, American Economic Association, vol. 85(2), pages 100-105, May.
    16. Neil Gandal, 1994. "Hedonic Price Indexes for Spreadsheets and an Empirical Test for Network Externalities," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 160-170, Spring.
    17. Beggs, Alan W & Klemperer, Paul, 1992. "Multi-period Competition with Switching Costs," Econometrica, Econometric Society, vol. 60(3), pages 651-666, May.
    18. Jay Pil Choi, 1997. "Herd Behavior, the 'Penguin Effect,' and the Suppression of Informational Diffusion: An Analysis of Informational Externalities and Payoff Interdependency," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 407-425, Autumn.
    19. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    20. Stanley M. Besen & Joseph Farrell, 1994. "Choosing How to Compete: Strategies and Tactics in Standardization," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 117-131, Spring.
    21. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Antonio Cabrales & Sergi Jiménez‐Martín, 2013. "The Determinants Of Pricing In Pharmaceuticals: Are Us Prices Really So High?," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1377-1397, November.
    2. Katharina E Blankart & Sotiris Vandoros, 2024. "Explaining why increases in generic use outpace decreases in brand name medicine use in multisource markets and the role of regulation," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-23, May.
    3. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    4. Javier Coronado & Sergi Jiménez-Martín & Pedro Marín, 2014. "An empirical analysis of the multimarket contact theory in pharmaceutical markets," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(6), pages 623-643, July.
    5. Fang, Di & Richards, Timothy, 2016. "New Maize Variety Adoption in Mozambique: A Spatial Approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235388, Agricultural and Applied Economics Association.
    6. Joan-Ramon Borrell, 2007. "Pricing and patents of HIV/AIDS drugs in developing countries," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 505-518.
    7. Antonio Cabrales & Sergi Jiménez-Martín, 2007. "The determinants of pricing in pharmaceuticals: Are U.S. prices really higher than those of Canada?," Economics Working Papers 1032, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Jinhua Zhao, 2005. "The Role of Information in Technology Adoption under Poverty," WIDER Working Paper Series RP2005-41, World Institute for Development Economic Research (UNU-WIDER).
    9. K. Andersson & Ø Foros & F. Steen, 2009. "Text and voice: complements, substitutes or both?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 18(6), pages 1231-1247, December.
    10. Jonathan Skinner & Douglas Staiger, 2007. "Technology Adoption from Hybrid Corn to Beta-Blockers," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 545-570, National Bureau of Economic Research, Inc.
    11. Matthew Shum, 1998. "Characterizing Informational Barriers To Entry In The Anti-Ulcer Drug Market," Working Papers mshum-98-03, University of Toronto, Department of Economics.
    12. Desiraju, Ramarao & Nair, Harikesh S. & Chintagunta, Pradeep, 2004. "Diffusion of New Pharmaceutical Drugs in Developing and Developed Nations," Research Papers 1950, Stanford University, Graduate School of Business.
    13. Joan-Ramon Borrell & Jayashree Watal, 2002. "Impact of Patents on Access to HIV/AIDS Drugs in Developing Countries," CID Working Papers 92, Center for International Development at Harvard University.
    14. Gautam Gowrisankaran & Joanna Stavins, 2004. "Network Externalities and Technology Adoption: Lessons from Electronic Payments," RAND Journal of Economics, The RAND Corporation, vol. 35(2), pages 260-276, Summer.
    15. Jonathan Skinner & Douglas Staiger, 2005. "Technology adoption from hybrid corn to beta blockers," Proceedings, Federal Reserve Bank of San Francisco.
    16. Moretto, Michele, 2000. "Irreversible investment with uncertainty and strategic behavior," Economic Modelling, Elsevier, vol. 17(4), pages 589-617, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ernst R. Berndt & Robert S. Pindyck & Pierre Azoulay, 2003. "Consumption Externalities and Diffusion in Pharmaceutical Markets: Antiulcer Drugs," Journal of Industrial Economics, Wiley Blackwell, vol. 51(2), pages 243-270, June.
    2. Oz Shy, 2011. "A Short Survey of Network Economics," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 38(2), pages 119-149, March.
    3. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107069978, November.
    4. Shim, Seonyoung & Lee, Byungtae & Kim, Sojung Lucia, 2018. "Rival precedence and open platform adoption: An empirical analysis," International Journal of Information Management, Elsevier, vol. 38(1), pages 217-231.
    5. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    6. Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
    7. Jörn H. Block & Philipp Köllinger, 2007. "Peer Influence in Network Markets: An Empirical Investigation," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 59(4), pages 364-386, October.
    8. Jie Wu & Kathryn Rudie Harrigan & Siah Hwee Ang & Zefu Wu, 2019. "The impact of imitation strategy and R&D resources on incremental and radical innovation: evidence from Chinese manufacturing firms," The Journal of Technology Transfer, Springer, vol. 44(1), pages 210-230, February.
    9. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    10. Jiali Liu & Xinran Xie & Yu Duan & Liang Tang, 2023. "Peer effects and the mechanisms in corporate capital structure: evidence from Chinese listed firms," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 295-326, March.
    11. Langley, David J. & Hoeve, Maarten C. & Ortt, J. Roland & Pals, Nico & van der Vecht, Bob, 2014. "Patterns of Herding and their Occurrence in an Online Setting," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 16-25.
    12. Christopher J. Blackburn & Mallory E. Flowers & Daniel C. Matisoff & Juan Moreno‐Cruz, 2020. "Do Pilot and Demonstration Projects Work? Evidence from a Green Building Program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1100-1132, September.
    13. Luis Garicano & Richard A. Posner, 2005. "Intelligence Failures: An Organizational Economics Perspective," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 151-170, Fall.
    14. Corazzini, Luca & Greiner, Ben, 2007. "Herding, social preferences and (non-)conformity," Economics Letters, Elsevier, vol. 97(1), pages 74-80, October.
    15. Vitor Trindade & Johannes Moenius, 2007. "Networks, Standards and Intellectual Property Rights," Working Papers 0705, Department of Economics, University of Missouri.
    16. Paolo Balduzzi, 2005. "Optimal use of scarce information: When partisan voters are socially useful," Working Papers 87, University of Milano-Bicocca, Department of Economics, revised Mar 2005.
    17. Tihana Škrinjarić, 2018. "Revisiting Herding Investment Behavior on the Zagreb Stock Exchange: A Quantile Regression Approach," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(2), pages 119-162, December.
    18. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    19. Branko Bo_skovic, David. P. Byrne, Arvind Magesan, 2012. "Herding Among Bureaucrats," Department of Economics - Working Papers Series 1153, The University of Melbourne.
    20. Dunia López-Pintado & Duncan J. Watts, 2008. "Social Influence, Binary Decisions and Collective Dynamics," Rationality and Society, , vol. 20(4), pages 399-443, November.

    More about this item

    Keywords

    ;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mit:sloanp:2744. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: None The email address of this maintainer does not seem to be valid anymore. Please ask None to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.