Behavior on Surveys and in the Economy using HRS

使用 HRS 进行调查和经济行为

• 批准号: 7255432
• 负责人: ROBERT J WILLIS
• 金额: $ 77.11万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-30 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7255432
• 关键词: Behavior; Surveys; Economy; using; HRS

DESCRIPTION (provided by applicant): The overall goal of our program project and its individual research projects is to study decision-making and wellbeing using the Health and Retirement Study, exploring links between behavior on surveys and in the real world. Project by Willis proposes to utilize the HRS data about subjective probability beliefs on a wide variety of topics in conjunction with models of survey response and behavior under uncertainty to address four related questions. Project by Kimball proposes to bring to bear the concepts and methods of modern Economics on the traditional problem of well-being in Psychology, and the insights of modern Psychology about well-being in general and subjective well-being data in particular on the traditional problems in Economics of prediction of behavior, understanding expectation formation, and welfare analysis. Project by Manski proposes to analyze tendencies of respondents to the HRS for nonresponse and response errors in answering related questions, as well as across the instrument as a whole. Project by Shumway proposes to identify what governs cross-sectional difference in portfolio choice with regard to risk preference, illiquid assets and behavioral finance. We propose three Cores designed to support this program of research - an Administrative Core, a Data Innovation Core and a Network core. These Cores provide an efficient way to maximize the scientific productivity of these four projects.

描述（由申请人提供）：我们的项目及其各个研究项目的总体目标是利用健康与退休研究来研究决策和福祉，探索调查行为与现实世界中的行为之间的联系。 Willis 的项目建议利用有关各种主题的主观概率信念的 HRS 数据，结合不确定性下的调查响应和行为模型来解决四个相关问题。金博尔的项目建议将现代经济学的概念和方法应用于心理学中的传统幸福问题，以及现代心理学对一般幸福和主观幸福数据的见解，特别是对传统问题的影响行为预测经济学、理解预期形成和福利分析。 Manski 的项目建议分析 HRS 受访者在回答相关问题时以及整个工具中不回答和回答错误的倾向。 Shumway 的项目旨在确定在风险偏好、非流动资产和行为金融方面投资组合选择的横截面差异的决定因素。我们提出了三个旨在支持该研究计划的核心——管理核心、数据创新核心和网络核心。这些核心提供了一种有效的方法来最大限度地提高这四个项目的科学生产力。