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

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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.

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  • 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
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    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. 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.
    3. Kalai, Ehud, 1977. "Proportional Solutions to Bargaining Situations: Interpersonal Utility Comparisons," Econometrica, Econometric Society, vol. 45(7), pages 1623-1630, October.
    4. Alvin E. Roth, 2007. "Repugnance as a Constraint on Markets," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 37-58, Summer.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Jens Prüfer & Christoph Schottmüller, 2021. "Competing with Big Data," Journal of Industrial Economics, Wiley Blackwell, vol. 69(4), pages 967-1008, December.
    11. Admati, Anat R. & Pfleiderer, Paul, 1986. "A monopolistic market for information," Journal of Economic Theory, Elsevier, vol. 39(2), pages 400-438, August.
    12. Dirk Bergemann & Alessandro Bonatti, 2019. "Markets for Information: An Introduction," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 85-107, August.
    13. 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.
    14. 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.
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    Keywords

    data pool; health data; data sharing;
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