IDEAS home Printed from https://ideas.repec.org/p/ipt/decwpa/202106.html
   My bibliography  Save this paper

To pool or to pull back? An economic analysis of health data pooling

Author

Abstract

We present a novel generic theoretical framework to analyze the incentives agents have to engage in n-way data sharing or ‘data pooling’ and the factors affecting those incentives. Based on the results obtained, we provide policy recommendations aimed at fostering health data pooling. Section 1 develops a baseline framework and multiple variations including zero-sum data pooling games, competing pools and intra-pool negative externalities. The section offers analytical solutions and examples to show under which conditions agents decide to pool data. Section 2 illustrates how different factors can lead to sub-optimal data pooling. Section 3 provides policy recommendations to foster data pooling in the health sector and discusses the conditions under which they can be effective.

Suggested Citation

  • CARBALLA SMICHOWSKI Bruno & DUCH BROWN Nestor & MARTENS Bertin, 2021. "To pool or to pull back? An economic analysis of health data pooling," JRC Working Papers on Digital Economy 2021-06, Joint Research Centre.
  • Handle: RePEc:ipt:decwpa:202106
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC126961
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bertin Martens & Alexandre de Streel & Inge Graef & Thomas Tombal & Nestor Duch-Brown, 2020. "Business-to-Business data sharing: An economic and legal analysis," JRC Working Papers on Digital Economy 2020-05, Joint Research Centre.
    2. Dirk Bergemann & Alessandro Bonatti, 2019. "Markets for Information: An Introduction," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 85-107, August.
    3. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    4. Kalai, Ehud, 1977. "Proportional Solutions to Bargaining Situations: Interpersonal Utility Comparisons," Econometrica, Econometric Society, vol. 45(7), pages 1623-1630, October.
    5. Jens Prüfer & Christoph Schottmüller, 2021. "Competing with Big Data," Journal of Industrial Economics, Wiley Blackwell, vol. 69(4), pages 967-1008, December.
    6. Alvin E. Roth, 2007. "Repugnance as a Constraint on Markets," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 37-58, Summer.
    7. Michael J. Sandel, 2013. "Market Reasoning as Moral Reasoning: Why Economists Should Re-engage with Political Philosophy," Journal of Economic Perspectives, American Economic Association, vol. 27(4), pages 121-140, Fall.
    8. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    9. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    10. MARTENS Bertin & DUCH BROWN Nestor, 2020. "The economics of Business-to-Government data sharing," JRC Working Papers on Digital Economy 2020-04, Joint Research Centre.
    11. Bruno Carballa Smichowski, 2018. "The value of data: an analysis of closed-urban-data-based and open-data-based business models," Working Papers hal-01736484, HAL.
    12. Sandro Ambuehl & Muriel Niederle & Alvin E. Roth, 2015. "More Money, More Problems? Can High Pay Be Coercive and Repugnant?," American Economic Review, American Economic Association, vol. 105(5), pages 357-360, May.
    13. Bruno Carballa Smichowski, 2019. "Alternative Data Governance Models: Moving Beyond One-Size-Fits-All Solutions," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 54(4), pages 222-227, July.
    14. Admati, Anat R. & Pfleiderer, Paul, 1986. "A monopolistic market for information," Journal of Economic Theory, Elsevier, vol. 39(2), pages 400-438, August.
    15. Bruno Carballa Smichowski, 2018. "The value of data: an analysis of closed-urban-data-based and open-data-based business models," CEPN Working Papers hal-01736484, HAL.
    Full references (including those not matched with items on IDEAS)

    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. Bertin Martens & Alexandre de Streel & Inge Graef & Thomas Tombal & Nestor Duch-Brown, 2020. "Business-to-Business data sharing: An economic and legal analysis," JRC Working Papers on Digital Economy 2020-05, Joint Research Centre.
    2. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2022. "Data brokers co-opetition [The impact of big data on firm performance: an empirical investigation]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 820-839.
    3. Alessandro Bonatti, 2023. "The Platform Dimension of Digital Privacy," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    4. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
    5. Michael A. Clemens, 2018. "Testing for Repugnance in Economic Transactions: Evidence from Guest Work in the Gulf," The Journal of Legal Studies, University of Chicago Press, vol. 47(S1), pages 5-44.
    6. Elliott, M. & Galeotti., A. & Koh., A. & Li, W., 2021. "Market Segmentation Through Information," Janeway Institute Working Papers 2114, Faculty of Economics, University of Cambridge.
    7. Navarra, Federico & Pino, Flavio & Sandrini, Luca, 2024. "Mandated data-sharing in hybrid marketplaces," ZEW Discussion Papers 24-051, ZEW - Leibniz Centre for European Economic Research.
    8. Ichihashi, Shota, 2021. "The economics of data externalities," Journal of Economic Theory, Elsevier, vol. 196(C).
    9. S. Nageeb Ali & Greg Lewis & Shoshana Vasserman, 2019. "Voluntary Disclosure and Personalized Pricing," Papers 1912.04774, arXiv.org, revised Aug 2020.
    10. K. Drakopoulos & R. S. Randhawa, 2021. "Why Perfect Tests May Not Be Worth Waiting For: Information as a Commodity," Management Science, INFORMS, vol. 67(11), pages 6678-6693, November.
    11. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    12. David Bounie & Antoine Dubus & Patrick Waelbroeck, 2020. "Market for Information and Selling Mechanisms," CESifo Working Paper Series 8307, CESifo.
    13. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    14. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    15. Ronen Gradwohl & Moshe Tennenholtz, 2023. "Selling Data to a Competitor," Papers 2302.00285, arXiv.org.
    16. Dirk Bergemann & Alessandro Bonatti, 2024. "Data, Competition, and Digital Platforms," American Economic Review, American Economic Association, vol. 114(8), pages 2553-2595, August.
    17. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    18. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
    19. Sandro Ambuehl & B. Douglas Bernheim & Axel Ockenfels, 2019. "Projective Paternalism," CESifo Working Paper Series 7762, CESifo.
    20. He, Zhiguo & Huang, Jing & Zhou, Jidong, 2023. "Open banking: Credit market competition when borrowers own the data," Journal of Financial Economics, Elsevier, vol. 147(2), pages 449-474.

    More about this item

    Keywords

    data pool; health data; data sharing;
    All these keywords.

    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:ipt:decwpa:202106. 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: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.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.