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Accuracy Is (Generically) Bad For Compliance

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  • John W. Patty
  • Elizabeth Maggie Penn

Abstract

We demonstrate that the set of cost distributions under which the optimal strategy for maximizing compliance (or more generally, effort) in a binary choice environment is identical to the optimal strategy for maximizing the accuracy of the reward (minimizing Type-I and Type-II errors) is finitely shy (Anderson and Zame (2001) in the space of all smooth parameterized real-valued distributions possessing full support on the real line. In words, this implies that maximizing compliance and maximizing accuracy "almost always" call for different incentive schemes.

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  • John W. Patty & Elizabeth Maggie Penn, 2025. "Accuracy Is (Generically) Bad For Compliance," Papers 2505.18094, arXiv.org.
  • Handle: RePEc:arx:papers:2505.18094
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    References listed on IDEAS

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    1. Anderson Robert M. & Zame William R., 2001. "Genericity with Infinitely Many Parameters," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 1(1), pages 1-64, February.
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