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(Bad) reputation in relational contracting

Author

Listed:
  • Deb, Rahul

    (Department of Economics, University of Toronto)

  • Mitchell, Matthew

    (Rottman School of Management, University of Toronto)

  • Pai, Mallesh M.

    (Department of Economics, Rice University)

Abstract

Motivated by markets for ``expertise,'' we study a bandit model where a principal chooses between a safe and risky arm. A strategic agent controls the risky arm and privately knows whether its type is high or low. Irrespective of type, the agent wants to maximize duration of experimentation with the risky arm. However, only the high type arm can generate value for the principal. Our main insight is that reputational incentives can be exceedingly strong unless both players coordinate on maximally inefficient strategies on path. We discuss implications for online content markets, term limits for politicians and experts in organizations. for politicians and experts in organizations.

Suggested Citation

  • Deb, Rahul & Mitchell, Matthew & Pai, Mallesh M., 2022. "(Bad) reputation in relational contracting," Theoretical Economics, Econometric Society, vol. 17(2), May.
    • Handle: RePEc:the:publsh:4803
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    References listed on IDEAS

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    Cited by:

    1. Harry Pei, 2020. "Reputation Building under Observational Learning," Papers 2006.08068, arXiv.org, revised Nov 2020.

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    More about this item

    Keywords

    Expert advice; bad reputation; strategic experimentation; bandits; relational contracting;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

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