Limited Attention and Procedural Decision Making

有限的注意力和程序性决策

• 批准号: 1024544
• 负责人: Yusuf Masatlioglu
• 金额: $ 27.13万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1024544&HistoricalAwards=false
• 关键词: Limited; Attention; Procedural; Decision; Making

This award funds work to develop a new mathematical model of decision making with limited attention. The goal is to build a new link between research on decision theory and research on bounded rationality. The end result is new ways to analyze, predict, and understand how individuals make decisions. Numerous studies in psychology, finance, marketing, and other areas have demonstrated that people have limited attention for making choices. That is, rather than considering all possible options most people first compare and then choose from a much more limited set of options called a consideration set.The project is designed to answer three broad kinds of research questions. First, how can social scientists infer preferences and consideration sets from datat that only records the choices people made, not the specific options considered? Second, what are the specific ways in which decision makers with this kind of limited attention behave in ways that cannot be explained by standard economic models? Third, how do people decide what options to consider? How do they form their consideration sets and what effect do outside factors like marketing campaigns or public policy have on these consideration sets?Theis research will have broader impact by using methods and tools from microeconomic theory to answer questions of interest to a large and interdisciplinary research community. In addition, the research has the potential to guide public policy to new kinds of "nudge" interventions that might be able to guarantee that individuals consider the right set of options, a set that does not arbitrarily exclude excellent choices.

该奖项资助开发一种新的决策数学模型的工作，注意力有限。 其目标是在决策理论研究和有限理性研究之间建立一个新的联系。 最终的结果是分析、预测和理解个人如何做出决策的新方法。 心理学、金融、市场营销和其他领域的大量研究表明，人们在做出选择时的注意力有限。 也就是说，大多数人不是考虑所有可能的选择，而是首先比较，然后从一个更有限的选项集合中选择，这个集合被称为考虑集。 首先，社会科学家如何从只记录人们做出的选择而不是考虑的具体选项的数据中推断出偏好和考虑集？ 第二，决策者在这种有限注意力的情况下，会以什么样的具体方式做出标准经济模型无法解释的行为？ 第三，人们如何决定要考虑哪些选择？ 他们是如何形成他们的考虑集的？外部因素（如营销活动或公共政策）对这些考虑集有什么影响？通过使用微观经济理论的方法和工具来回答大型跨学科研究社区感兴趣的问题，该研究将产生更广泛的影响。 此外，这项研究有可能指导公共政策采取新的“推动”干预措施，这些措施可能能够保证个人考虑正确的选择，而不是武断地排除优秀的选择。