Behavior on Surveys and in the Economy using HRS

我们的计划项目及其个人研究项目的总体目标是研究决策和 健康与退休研究，探索调查中的行为与 真实的世界。项目1提出利用关于各种主观概率信念的MRS数据， 主题结合模型的调查反应和行为下的不确定性，以解决四个相关的 问题.项目2建议使用明确的纵向经济模型来分析健康 随着工人接近退休年龄，地位和经济因素共同影响劳动力行为， 特别关注人们在健康状况下降时所做的选择。项目3建议， 现代经济学的概念和方法在心理学的幸福的传统问题，和 现代心理学关于总体幸福感的见解，特别是主观幸福感数据， 经济学中传统的预测行为的问题，理解预期的形成， 福利分析项目4提出测试理论的机制产生面试官的影响， 不同年龄组的自我报告健康数据;发明和验证与访谈者相关的指标 产生测量误差的机制;并展示有关 重要的与年龄有关的健康现象，通过使用这些测量误差指标， 机制等项目5建议分析MRS应答者的无应答倾向， 在回答相关问题时以及整个仪器上的回答错误。Project 6 建议确定是什么决定了投资组合选择中风险偏好的横截面差异， 非流动性资产和行为金融。我们提出了三个核心，旨在支持这项研究计划 - 管理核心、数据创新核心和网络核心。这些核心提供了一种高效的方式 最大限度地提高这六个项目的科学生产力。

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 1 proposes to utilize the MRSdata 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 2 proposes to use well-specified longitudinal economic models to analyze how health status and economic factors jointly affect labor force behavior as workers approach retirement age, with particular focus on the choices people make when their health declines. Project 3 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 4 proposes to test theories about the mechanisms producing interviewer effects on self-report health data across different age groups; to invent and validate indicators of interviewer-related mechanisms producing measurement error; and to demonstrate improved statistical analyses about important age-related health phenomena by employing the measurement error indicators of those mechanisms. Project 5 proposes to analyze tendencies of respondents to the MRSfor nonresponse and response errors in answering related questions, as well as across the instrument as a whole. Project 6 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 efficientway to maximize the scientific productivity of these six projects.