授权激励信息生产

IF 0.5 4区 经济学 Q4 ECONOMICS
Cheng Li , Huangxing Mao
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引用次数: 0

摘要

本文研究了在贝叶斯说服模型中,将决策权下放给一个有偏见且不知情的代理人所产生的影响。我们发现,授权可以激励发送者提供更多关于发送者所提项目优点的信息。这是因为具有较小负面偏差的代理人需要比委托人更有说服力的证据来实施项目。如果代理人的偏向是正向的,就不会出现证据质量的提高。当存在信息效益时,授权会比集权带来更高的组织福利。当委托人通过一般授权机制进行授权,且代理人的偏差为私下所知时,授权的信息效益也会扩大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delegation to incentivize information production

This paper examines the impact of delegating decision-making authority to a biased and uninformed agent in a Bayesian persuasion model. We find that delegation can incentivize the sender to produce more information about the merits of the sender’s proposed project. This is because an agent with a small negative bias requires more compelling evidence than the principal to implement the project. The improvement in evidence quality does not occur if the agent’s bias is positive. When the informational benefits exist, delegation lead to higher organizational welfare than centralization. The informational benefits of delegation extend to cases where the principal delegates authority through a general delegation mechanism and when the agent’s bias is privately known.

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来源期刊
Mathematical Social Sciences
Mathematical Social Sciences 数学-数学跨学科应用
CiteScore
1.30
自引率
0.00%
发文量
55
审稿时长
59 days
期刊介绍: The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences. Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models. Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.
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