Conference: Experiments and Theory in Economics

会议：经济学实验与理论

• 批准号: 2315108
• 负责人: Guillaume Frechette
• 金额: $ 4.96万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315108&HistoricalAwards=false
• 关键词: Conference; Experiments; Theory; Economics

This award will fund a series of conferences whose objective is to bring together experts from the respective fields of economic theory and experimental economics. Economic theory and experiments have had a fruitful relationship for the last four decades. Over the course of this period, economic experiments have allowed to uncover many “behavioral anomalies”, that is to say, behaviors which were consistently observed in the lab and did not seem to conform to the prevalent economic models at the time. These seemingly anomalous observations have eventually resulted in the refinement of numerous economic models. Through this series of conferences, the investigators seek to continue and amplify this important collaboration (between economic theorists and experimentalists) by creating many opportunities for scholars in these respective groups of researchers to have live exchanges, which will include state-of-the art presentations from the two fields. This continued collaboration is crucial to ensure the updating of the theories and models seeking to explain the behavior of economic agents. The participation of experts from psychology, political science, and computer science gives an interdisciplinary dimension to these conferences.Specifically, the first conference in the series focuses on the topic of “learning with incorrect models”. Behavioral economics has accumulated ample evidence documenting systematic mistakes and biases in many economic environments. The question of determining how agents correct these mistakes over time (with experience and sequential acquisition of new information) is of central importance. The investigators have identified a burgeoning literature on this topic from the economic theory side; but there is almost no experimental and behavioral scrutiny on this important question. The organization of this event is thus likely to spur the development of the experimental literature on this topic. The list of conference participants includes world-renowned experts and students from various universities across the United States. In the second conference, the organizers plan to explore the topic of “information design and persuasion”, which essentially refers to one’s ability to influence, through the choice of the information provided, the actions chosen by another agent. In the last decade, many theoretical works have used models of persuasion in various contexts: voter mobilization, traffic routing, rating systems, transparency in financial markets, etc. However, to date, the related works from experimental economics have focused on rather simplistic and unrealistic examples. The second conference will thus give researchers in both field the opportunity to eliminate this disconnect between the two fields. The series includes additional events, which focus on other topics.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.

该奖项将资助一系列会议，其目标是汇集来自经济理论和实验经济学各自领域的专家。在过去的四十年里，经济理论和实验之间的关系卓有成效。在这一时期，经济实验揭示了许多“行为异常”，也就是说，在实验室中一直观察到的行为似乎不符合当时流行的经济模型。这些看似反常的观察结果最终导致了许多经济模型的完善。通过这一系列会议，研究人员寻求继续和扩大这一重要的合作（经济理论家和实验主义者之间），为这些研究人员群体中的学者创造许多机会进行现场交流，其中包括来自这两个领域的最先进的演讲。这种持续的合作对于确保更新试图解释经济主体行为的理论和模型至关重要。来自心理学、政治学和计算机科学的专家的参与为这些会议提供了一个跨学科的维度。具体来说，该系列的第一次会议侧重于“用不正确的模型学习”的主题。行为经济学积累了大量证据，证明了许多经济环境中的系统性错误和偏见。确定智能体如何随着时间的推移（通过经验和连续获取新信息）纠正这些错误的问题至关重要。研究者们已经从经济理论方面发现了关于这一主题的新兴文献;但几乎没有关于这一重要问题的实验和行为审查。因此，这一活动的组织可能会刺激关于这一主题的实验文献的发展。与会者名单包括来自美国各地各大学的世界知名专家和学生。在第二次会议上，组织者计划探讨“信息设计和说服”的主题，这基本上是指一个人通过选择所提供的信息来影响另一个代理人选择的行动的能力。在过去的十年中，许多理论著作在不同的背景下使用了说服模型：选民动员，交通路线，评级系统，金融市场的透明度等，然而，迄今为止，实验经济学的相关工作都集中在相当简单和不切实际的例子。因此，第二次会议将使这两个领域的研究人员有机会消除这两个领域之间的脱节。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。