IDEAS home Printed from https://ideas.repec.org/p/pab/wpaper/08.02.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://www.upo.es/serv/bib/wps/econ0802.pdf
    File Function: First version, 2008
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    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. 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.
    2. Arnaud Dellis & Mandar Oak, 2020. "Subpoena power and informational lobbying," Journal of Theoretical Politics, , vol. 32(2), pages 188-234, April.
    3. 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.
    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. 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.
    7. Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2021. "Strategic Sample Selection," Econometrica, Econometric Society, vol. 89(2), pages 911-953, March.
    8. 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.
    9. Herresthal, Claudia, 2022. "Hidden testing and selective disclosure of evidence," Journal of Economic Theory, Elsevier, vol. 200(C).

    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. Dahm, Matthias & González, Paula & Porteiro, Nicolás, 2018. "The enforcement of mandatory disclosure rules," Journal of Public Economics, Elsevier, vol. 167(C), pages 21-32.
    2. Arnaud Dellis & Mandar Oak, 2016. "Overlobbying and Pareto-improving Agenda Constraint," School of Economics and Public Policy Working Papers 2016-05, University of Adelaide, School of Economics and Public Policy.
    3. Christopher Cotton, 2009. "Competition for Access and Full Revelation of Evidence," Working Papers 2010-12, University of Miami, Department of Economics.
    4. Simon P. Anderson & John McLaren, 2012. "Media Mergers And Media Bias With Rational Consumers," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 831-859, August.
    5. Gregor Martin, 2015. "To Invite or Not to Invite a Lobby, That Is the Question," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 15(2), pages 143-166, July.
    6. Cotton, Christopher, 2012. "Pay-to-play politics: Informational lobbying and contribution limits when money buys access," Journal of Public Economics, Elsevier, vol. 96(3), pages 369-386.
    7. Wong, Tsz-Ning & Yang, Lily Ling, 2021. "Dynamic expert incentives in teams," Games and Economic Behavior, Elsevier, vol. 125(C), pages 27-47.
    8. Emeric Henry, 2009. "Strategic Disclosure of Research Results: The Cost of Proving Your Honesty," Economic Journal, Royal Economic Society, vol. 119(539), pages 1036-1064, July.
    9. Martin Gregor, 2011. "Corporate lobbying: A review of the recent literature," Working Papers IES 2011/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2011.
    10. Zara Sharif & Otto H. Swank, 2019. "Do More Powerful Interest Groups Have a Disproportionate Influence on Policy?," De Economist, Springer, vol. 167(2), pages 127-143, June.
    11. 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.
    12. Martin Gregor, 2014. "Receiver's access fee for a single sender," Working Papers IES 2014/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2014.
    13. Cotton, Christopher, 2009. "Should we tax or cap political contributions? A lobbying model with policy favors and access," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 831-842, August.
    14. Cotton, Christopher, 2007. "Informational Lobbying and Competition for Access," MPRA Paper 1842, University Library of Munich, Germany.
    15. Groll, Thomas & Ellis, Christopher J., 2014. "A simple model of the commercial lobbying industry," European Economic Review, Elsevier, vol. 70(C), pages 299-316.
    16. Christopher S. Cotton & Arnaud Déllis, 2016. "Informational Lobbying and Agenda Distortion," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 32(4), pages 762-793.
    17. Martin Gregor, 2016. "Tullock's Puzzle in Pay-and-Play Lobbying," Economics and Politics, Wiley Blackwell, vol. 28(3), pages 368-389, November.
    18. Martin Gregor, 2014. "Access fees for competing lobbies," Working Papers IES 2014/22, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2014.
    19. Christopher Cotton, 2010. "Evidence Revelation in Competitions for Access," Working Papers 2010-21, University of Miami, Department of Economics.
    20. Yaroslav Kryukov, "undated". "Dynamic R&D and the Effectiveness of Policy Intervention in the Pharmaceutical Industry," GSIA Working Papers 2015-E33, Carnegie Mellon University, Tepper School of Business.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pab:wpaper:08.02. 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: Publicación Digital - UPO (email available below). General contact details of provider: https://edirc.repec.org/data/deupoes.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.