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Trials, Tricks and Transparency: How Disclosure Rules Affect Clinical Knowledge

Author

Listed:
  • Matthias Dahm

    (Departamento de Economía, Universidat Rovira i Virgili)

  • Paula González

    (Department of Economics, Universidad Pablo de Olavide)

  • Nicolás Porteiro

    (Department of Economics, Universidad Pablo de Olavide)

Abstract

Scandals of selective reporting of clinical trial results by pharmaceutical firms have underlined the need for more transparency in clinical trials. We provide a theoretical framework which reproduces incentives for selective reporting and yields three key implications concerning regulation. First, a compulsory clinical trial registry complemented through a voluntary clinical trial results database can implement full transparency (the existence of all trials as well as their results is known). Second, full transparency comes at a price. It has a deterrence effect on the incentives to conduct clinical trials, as it reduces the firms' gains from trials. Third, in principle, a voluntary clinical trial results database without a compulsory registry is a superior regulatory tool; but we provide some qualified support for additional compulsory registries when medical decision-makers cannot anticipate correctly the drug companies' decisions whether to conduct trials.

Suggested Citation

  • Matthias Dahm & Paula González & Nicolás Porteiro, 2008. "Trials, Tricks and Transparency: How Disclosure Rules Affect Clinical Knowledge," Working Papers 08.02, Universidad Pablo de Olavide, Department of Economics.
  • Handle: RePEc:pab:wpaper:08.02
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    1. Gérard Pouvourville, 2006. "Risk-sharing agreements for innovative drugs," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(3), pages 155-157, September.
    2. Matthias Dahm & Nicolás Porteiro, 2008. "Informational lobbying under the shadow of political pressure," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(4), pages 531-559, May.
    3. Brekke, Kurt R. & Kuhn, Michael, 2006. "Direct to consumer advertising in pharmaceutical markets," Journal of Health Economics, Elsevier, vol. 25(1), pages 102-130, January.
    4. Bennedsen, Morten & Feldmann, Sven E., 2006. "Informational lobbying and political contributions," Journal of Public Economics, Elsevier, vol. 90(4-5), pages 631-656, May.
    5. Richard Schmalensee, 1976. "A Model of Promotional Competition in Oligopoly," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(3), pages 493-507.
    6. Paul Milgrom & John Roberts, 1986. "Relying on the Information of Interested Parties," RAND Journal of Economics, The RAND Corporation, vol. 17(1), pages 18-32, Spring.
    7. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
    8. Lewis Tracy R. & Reichman Jerome H. & So Anthony D., 2007. "The Case for Public Funding and Public Oversight of Clinical Trials," The Economists' Voice, De Gruyter, vol. 4(1), pages 1-4, January.
    9. Pierre Azoulay, 2002. "Do Pharmaceutical Sales Respond to Scientific Evidence?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(4), pages 551-594, December.
    10. Kristin Rising & Peter Bacchetti & Lisa Bero, 2008. "Reporting Bias in Drug Trials Submitted to the Food and Drug Administration: Review of Publication and Presentation," PLOS Medicine, Public Library of Science, vol. 5(11), pages 1-10, November.
    11. Grabowski, Henry G. & Vernon, John M., 1994. "Returns to R&D on new drug introductions in the 1980s," Journal of Health Economics, Elsevier, vol. 13(4), pages 383-406.
    12. DiMasi, Joseph A. & Hansen, Ronald W. & Grabowski, Henry G., 2003. "The price of innovation: new estimates of drug development costs," Journal of Health Economics, Elsevier, vol. 22(2), pages 151-185, March.
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    Cited by:

    1. Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2021. "Strategic Sample Selection," Econometrica, Econometric Society, vol. 89(2), pages 911-953, March.
    2. Emeric Henry & Marco Ottaviani, 2019. "Research and the Approval Process: The Organization of Persuasion," American Economic Review, American Economic Association, vol. 109(3), pages 911-955, March.
    3. Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2017. "Persuasion Bias in Science: Can Economics Help?," Economic Journal, Royal Economic Society, vol. 127(605), pages 266-304, October.
    4. Simone Ghislandi & Michael Kuhn, 2016. "Asymmetric information in the regulation of the access to markets," Department of Economics Working Papers wuwp219, Vienna University of Economics and Business, Department of Economics.
    5. Dahm, Matthias & González, Paula & Porteiro, Nicolás, 2018. "The enforcement of mandatory disclosure rules," Journal of Public Economics, Elsevier, vol. 167(C), pages 21-32.
    6. Arnaud Dellis & Mandar Oak, 2020. "Subpoena power and informational lobbying," Journal of Theoretical Politics, , vol. 32(2), pages 188-234, April.
    7. Huan Cao & Xu Guan & Tijun Fan & Li Zhou, 2020. "The Acquisition of Quality Information in a Supply Chain with Voluntary vs. Mandatory Disclosure," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 595-616, March.
    8. Herresthal, Claudia, 2022. "Hidden testing and selective disclosure of evidence," Journal of Economic Theory, Elsevier, vol. 200(C).
    9. Daniel Stone, 2011. "A signal-jamming model of persuasion: interest group funded policy research," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 37(3), pages 397-424, September.

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    More about this item

    Keywords

    pharmaceutical firms; strategic information transmission; clinical trials; registries; results databases; scientific knowledge.;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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