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Information Acquisition Towards Unanimous Consent

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  • Yingkai Li
  • Boli Xu

Abstract

A manager facing a task of unknown difficulty can propose a plan to let a worker undertake the task; the worker can either accept the proposal or reject it. The plan benefits the worker only when the task is sufficiently easy and benefits the manager only when it is sufficiently hard. The manager can conduct a test at no cost to acquire information about the difficulty of the task; however, she can misreport the test result to the worker. We find that it is optimal for the manager to conduct a threshold test and to propose the plan only when the difficulty of the task exceeds the threshold. Moreover, when the worker privately knows his capability, we find that the manager can benefit from screening the worker by offering up to two additional interval tests.

Suggested Citation

  • Yingkai Li & Boli Xu, 2024. "Information Acquisition Towards Unanimous Consent," Papers 2405.18521, arXiv.org, revised Mar 2025.
  • Handle: RePEc:arx:papers:2405.18521
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    References listed on IDEAS

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    1. Paul Milgrom & Ilya Segal, 2002. "Envelope Theorems for Arbitrary Choice Sets," Econometrica, Econometric Society, vol. 70(2), pages 583-601, March.
    2. Dirk Bergemann & Stephen Morris, 2019. "Information Design: A Unified Perspective," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 44-95, March.
    3. Eduardo Perez‐Richet & Vasiliki Skreta, 2022. "Test Design Under Falsification," Econometrica, Econometric Society, vol. 90(3), pages 1109-1142, May.
    4. Anton Kolotilin & Tymofiy Mylovanov & Andriy Zapechelnyuk & Ming Li, 2017. "Persuasion of a Privately Informed Receiver," Econometrica, Econometric Society, vol. 85(6), pages 1949-1964, November.
    5. Dong Wei & Brett Green, 2024. "(Reverse) Price Discrimination with Information Design," American Economic Journal: Microeconomics, American Economic Association, vol. 16(2), pages 267-295, May.
    6. Ian Ball, 2019. "Scoring Strategic Agents," Papers 1909.01888, arXiv.org, revised May 2024.
    7. Guo, Yingni & Shmaya, Eran, 2021. "Costly miscalibration," Theoretical Economics, Econometric Society, vol. 16(2), May.
    8. Paul Gompers & Josh Lerner, 2001. "The Venture Capital Revolution," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 145-168, Spring.
    9. Ivanov, Maxim, 2010. "Informational control and organizational design," Journal of Economic Theory, Elsevier, vol. 145(2), pages 721-751, March.
    10. Elliot Lipnowski & Doron Ravid & Denis Shishkin, 2022. "Persuasion via Weak Institutions," Journal of Political Economy, University of Chicago Press, vol. 130(10), pages 2705-2730.
    11. Yingni Guo & Eran Shmaya, 2019. "The Interval Structure of Optimal Disclosure," Econometrica, Econometric Society, vol. 87(2), pages 653-675, March.
    12. Bardhi, Arjada & Guo, Yingni, 2018. "Modes of persuasion toward unanimous consent," Theoretical Economics, Econometric Society, vol. 13(3), September.
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