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Autores principales: Patty, John W., Penn, Elizabeth Maggie
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2505.18094
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author Patty, John W.
Penn, Elizabeth Maggie
author_facet Patty, John W.
Penn, Elizabeth Maggie
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_18094
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Accuracy Is (Generically) Bad For Compliance
Patty, John W.
Penn, Elizabeth Maggie
Theoretical Economics
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.
title Accuracy Is (Generically) Bad For Compliance
topic Theoretical Economics
url https://arxiv.org/abs/2505.18094