Behavior on Surveys and in the Economy using HRS

我们计划项目及其个别研究项目的总体目标是研究决策和 使用健康和退休研究，探索在调查中的行为和在 真实的世界。项目1建议将关于主观概率信念的磁共振数据用于各种不同的 与不确定性下的调查反应和行为模型相结合的主题，以解决四个相关的问题 问题。项目2建议使用明确的纵向经济模型来分析健康如何 随着工人接近退休年龄，身份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建议实施 现代经济学关于传统心理学幸福感问题的概念和方法，以及 现代心理学对总体幸福感和主观幸福感数据的洞察 行为预测经济学中的传统问题，理解预期的形成，以及 福利分析。项目4建议测试关于产生面试者效应的机制的理论 自我报告不同年龄段的健康数据；发明并验证与面试者相关的指标 产生测量误差的机制；并演示改进的统计分析 使用与年龄相关的重要健康现象的测量误差指标 机械装置。项目5建议分析受访者对核磁共振无反应的倾向和 回答相关问题时的回答错误，以及整个仪器的错误。项目6 建议确定是什么支配着投资组合选择中关于风险偏好的横截面差异， 非流动性资产和行为金融学。我们提出了三个核心来支持这项研究计划 --行政核心、数据创新核心、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率。

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.