Biased Beliefs and Social Interactions
偏见的信念和社会互动
基本信息
- 批准号:1824324
- 负责人:
- 金额:$ 30.29万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2022-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award funds research in economic theory that examines the determinants and implications of biased perceptions and beliefs. There are three components to this proposal. The first two study biased perceptions in the context of social interactions. The team is especially interested in understanding what kinds of misperceptions about society are likely to arise when people interact with only a non-representative sample of the population, and how such misperceptions affect people's ability to learn from their social contacts. The third component focuses on a type of bias that may affect individual decision making, called belief distortion. The research will give us new tools to understand and predict the outcomes of social interactions and decision-making under uncertainty. These are key to understanding many economic decisions. As a result, the project may eventually give us better ways to predict the effects of economic policies designed to promote the national interest.The first project in the proposal builds and analyzes a model of local interaction games with coordination motives. The goal is to understand what forms of misperceptions about population characteristics and social interaction patterns can arise, and how these misperceptions affect behavior and economic welfare. The second project studies how individuals' misperceptions about their societies affect social learning about unknown fundamentals. One surprising prediction is that even under arbitrarily small amounts of misperception, information aggregation may break down completely. The third project develops an axiomatic model of belief distortion. The aim is to provide a unified framework to understand central examples of belief distortion, such as ambiguity aversion and regret, that have been widely observed. The team also wants to use this new framework to analyze the behavioral implications of additional phenomena such as motivated cognition that thus far are not well understood in terms of choice theory.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该奖项资助经济理论研究,研究偏见的看法和信念的决定因素和影响。该提案由三个部分组成。前两项研究了社交互动背景下的偏见认知。该团队特别感兴趣的是了解当人们仅与不具代表性的人口样本互动时可能会出现哪些类型的社会误解,以及这种误解如何影响人们从社会交往中学习的能力。第三部分重点关注一种可能影响个人决策的偏见,称为信念扭曲。这项研究将为我们提供新的工具来理解和预测不确定性下社会互动和决策的结果。这些是理解许多经济决策的关键。因此,该项目最终可能为我们提供更好的方法来预测旨在促进国家利益的经济政策的效果。提案中的第一个项目建立并分析了具有协调动机的地方互动博弈模型。目标是了解可能出现对人口特征和社会互动模式的何种形式的误解,以及这些误解如何影响行为和经济福利。第二个项目研究个人对社会的误解如何影响对未知基础知识的社会学习。一个令人惊讶的预测是,即使在任意少量的误解下,信息聚合也可能完全崩溃。第三个项目开发了信念扭曲的公理模型。目的是提供一个统一的框架来理解信念扭曲的核心例子,例如已被广泛观察到的模糊厌恶和遗憾。该团队还希望使用这个新框架来分析其他现象的行为影响,例如迄今为止在选择理论方面尚未得到很好理解的动机认知。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Dispersed Behavior and Perceptions in Assortative Societies
分类社会中分散的行为和观念
- DOI:10.1257/aer.20190486
- 发表时间:2022
- 期刊:
- 影响因子:10.7
- 作者:Frick, Mira;Iijima, Ryota;Ishii, Yuhta
- 通讯作者:Ishii, Yuhta
Belief Convergence under Misspecified Learning: A Martingale Approach
错误指定学习下的信念收敛:马丁格尔方法
- DOI:10.1093/restud/rdac040
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Frick, Mira;Iijima, Ryota;Ishii, Yuhta
- 通讯作者:Ishii, Yuhta
Misinterpreting Others and the Fragility of Social Learning
误解他人和社交学习的脆弱性
- DOI:10.3982/ecta16981
- 发表时间:2020
- 期刊:
- 影响因子:6.1
- 作者:Frick, Mira;Iijima, Ryota;Ishii, Yuhta
- 通讯作者:Ishii, Yuhta
Objective rationality foundations for (dynamic) α-MEU
(动态)α-MEU 的客观理性基础
- DOI:10.1016/j.jet.2021.105394
- 发表时间:2022
- 期刊:
- 影响因子:1.6
- 作者:Frick, Mira;Iijima, Ryota;Le Yaouanq, Yves
- 通讯作者:Le Yaouanq, Yves
Dual‐Self Representations of Ambiguity Preferences
模糊偏好的双重自我表征
- DOI:10.3982/ecta17502
- 发表时间:2022
- 期刊:
- 影响因子:6.1
- 作者:Chandrasekher, Madhav;Frick, Mira;Iijima, Ryota;Le Yaouanq, Yves
- 通讯作者:Le Yaouanq, Yves
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Mira Frick其他文献
Essays on Learning, Uncertainty, and Choice
关于学习、不确定性和选择的论文
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Mira Frick - 通讯作者:
Mira Frick
Learning Efficiency of Multiagent Information Structures
多智能体信息结构的学习效率
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:8.2
- 作者:
Mira Frick;Ryota Iijima;Y. Ishii - 通讯作者:
Y. Ishii
Boolean Representations of Preferences under Ambiguity
歧义下偏好的布尔表示
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Mira Frick;Ryota Iijima;Yves Le Yaouanq - 通讯作者:
Yves Le Yaouanq
Stability and Robustness in Misspecified Learning Models
错误指定的学习模型中的稳定性和鲁棒性
- DOI:
10.2139/ssrn.3600633 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Mira Frick;Ryota Iijima;Y. Ishii - 通讯作者:
Y. Ishii
Monotone threshold representations
单调阈值表示
- DOI:
10.3982/te1547 - 发表时间:
2016 - 期刊:
- 影响因子:1.7
- 作者:
Mira Frick - 通讯作者:
Mira Frick
Mira Frick的其他文献
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