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Negative results in science: Blessing or (winner’s) curse

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  • Bobtcheff, Catherine
  • Mariotti, Thomas
  • Levy, Raphaël

Abstract

Two players receiving independent signals on a risky project with common value compete to be the rst to innovate. We characterize the equilibrium of this preemption game as the publicity of signals varies. Private signals create a winner's curse: investing rst implies that the rival has abstained from investing, possibly because he has privately received adverse information about the project. Since players want to gather more evidence in support of the project as a compensation, they invest later when signals are more likely to be private. Because of preemption, the NPV of investment is zero at equilibrium regardless of the publicity of signals. However, for a conservative planner who cares about avoiding unprotable investments, this implies that investment arises too early at equilibrium, and such a planner then prefers signals to be private. This provides a rationale against the mandatory disclosure of negative results in science, notably when competition is severe. Our results suggest that policy interventions should primarily tackle winner-takes-all competition, and regulate transparency only once competition is suciently mild.

Suggested Citation

  • Bobtcheff, Catherine & Mariotti, Thomas & Levy, Raphaël, 2021. "Negative results in science: Blessing or (winner’s) curse," TSE Working Papers 21-1202, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:125474
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    References listed on IDEAS

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    1. Dutta, Prajit K & Rustichini, Aldo, 1993. "A Theory of Stopping Time Games with Applications to Product Innovations and Asset Sales," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(4), pages 743-763, October.
    2. 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.
    3. Olga Bernard, 2020. "Refutation in Research: How to Improve Publication Quality," Annals of Economics and Statistics, GENES, issue 138, pages 21-48.
    4. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," American Economic Review, American Economic Association, vol. 94(2), pages 454-460, May.
    5. Benjamin A. Olken, 2015. "Promises and Perils of Pre-analysis Plans," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 61-80, Summer.
    6. Catherine Bobtcheff & Raphaël Levy, 2017. "More Haste, Less Speed? Signaling through Investment Timing," American Economic Journal: Microeconomics, American Economic Association, vol. 9(3), pages 148-186, August.
    7. Chia-Hui Chen & Junichiro Ishida & Arijit Mukherjee, 2018. "An Entry Game with Learning and Market Competition," ISER Discussion Paper 1043, Institute of Social and Economic Research, Osaka University.
    8. repec:hal:wpspec:info:hdl:2441/eu4vqp9ompqllr09iatr74eao is not listed on IDEAS
    9. Rossella Argenziano & Philipp Schmidt-Dengler, 2014. "Clustering In N-Player Preemption Games," Journal of the European Economic Association, European Economic Association, vol. 12(2), pages 368-396, April.
    10. Jennifer F. Reinganum, 1981. "On the Diffusion of New Technology: A Game Theoretic Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(3), pages 395-405.
    11. Catherine Bobtcheff & Jérôme Bolte & Thomas Mariotti, 2017. "Researcher’s Dilemma," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(3), pages 969-1014.
    12. Wagner, Peter A. & Klein, Nicolas, 2022. "Strategic investment and learning with private information," Journal of Economic Theory, Elsevier, vol. 204(C).
    13. Chamley, Christophe & Gale, Douglas, 1994. "Information Revelation and Strategic Delay in a Model of Investment," Econometrica, Econometric Society, vol. 62(5), pages 1065-1085, September.
    14. Drew Fudenberg & Jean Tirole, 1985. "Preemption and Rent Equalization in the Adoption of New Technology," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(3), pages 383-401.
    15. Bobtcheff, Catherine & Mariotti, Thomas, 2012. "Potential competition in preemption games," Games and Economic Behavior, Elsevier, vol. 75(1), pages 53-66.
    16. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," American Economic Review, American Economic Association, vol. 94(2), pages 454-460, May.
    17. Decamps, Jean-Paul & Mariotti, Thomas, 2004. "Investment timing and learning externalities," Journal of Economic Theory, Elsevier, vol. 118(1), pages 80-102, September.
    18. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
    19. Hoppe, Heidrun C. & Lehmann-Grube, Ulrich, 2005. "Innovation timing games: a general framework with applications," Journal of Economic Theory, Elsevier, vol. 121(1), pages 30-50, March.
    20. Olga Bernard, 2020. "Refutation in Research: How to Improve Publication quality," Post-Print hal-02894636, HAL.
    21. repec:hal:spmain:info:hdl:2441/eu4vqp9ompqllr09iatr74eao is not listed on IDEAS
    22. Hugo A. Hopenhayn & Francesco Squintani, 2011. "Preemption Games with Private Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 667-692.
    23. Emeric Henry, 2009. "Disclosure of research results: the cost of proving your honesty," SciencePo Working papers Main hal-01023670, HAL.
    24. Moscarini, Giuseppe & Squintani, Francesco, 2010. "Competitive experimentation with private information: The survivor's curse," Journal of Economic Theory, Elsevier, vol. 145(2), pages 639-660, March.
    25. Daniele Fanelli, 2012. "Negative results are disappearing from most disciplines and countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 891-904, March.
    26. Margaria, Chiara, 2020. "Learning and payoff externalities in an investment game," Games and Economic Behavior, Elsevier, vol. 119(C), pages 234-250.
    27. Pauli Murto & Juuso Välimäki, 2011. "Learning and Information Aggregation in an Exit Game," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1426-1461.
    28. Ozdenoren, Emre & Hoppe-Wewetzer, Heidrun C. & Katsenos, Georgios, 2019. "Experimentation, Learning, and Preemption," CEPR Discussion Papers 13483, C.E.P.R. Discussion Papers.
    29. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," Working Papers 858, Princeton University, Department of Economics, Industrial Relations Section..
    30. Herresthal, C., 2017. "Hidden Testing and Selective Disclosure of Evidence," Cambridge Working Papers in Economics 1712, Faculty of Economics, University of Cambridge.
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    Cited by:

    1. Chen, Chia-Hui & Ishida, Junichiro & Mukherjee, Arijit, 2023. "Pioneer, early follower or late entrant: Entry dynamics with learning and market competition," European Economic Review, Elsevier, vol. 152(C).
    2. Wagner, Peter A. & Klein, Nicolas, 2022. "Strategic investment and learning with private information," Journal of Economic Theory, Elsevier, vol. 204(C).
    3. Hoppe-Wewetzer, Heidrun & Katsenos, Georgios & Ozdenoren, Emre, 2023. "The effects of rivalry on scientific progress under public vs private learning," Journal of Economic Theory, Elsevier, vol. 212(C).
    4. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, C.E.P.R. Discussion Papers.

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