活动预告|南开大学养老与健康青年学者论坛(第16期)

发布时间:2026-06-03

南开大学养老与健康青年学者论坛的主题涵盖医疗行为、医院管理、医保运行、个体健康、养老金市场、银发经济和养老地产等和养老与健康相关的话题,旨在搭建相关领域的青年学者交流平台,推动相关领域的研究与合作,欢迎南开大学校内外师生积极参加!


南开大学养老与健康青年学者论坛第16期活动安排如下:

讲座题目:Health Dynamics and Reporting Bias at Retirement:  An Analysis Using High-Frequency Data 

主讲嘉宾:文家奕

文家奕,厦门大学经济学院与王亚南经济研究院助理教授,博士毕业于西班牙货币与金融研究中心(CEMFI)。研究领域为劳动经济学、公共经济学、健康经济学与应用计量经济学。学术成果发表于Journal ofHealthEconomics等国际权威期刊,曾获省社会科学优秀成果奖青年佳作奖。曾主持国家自然科学基金青年项目,并参与国家自然科学基金重大项目、重点项目和面上项目。曾赴美联储纽约分行、西班牙央行、国家发改委宏观经济研究院等机构进行短期访问与研究工作。现任《中国经济问题》期刊编委,并担任Quarterly Journal of Economics、Journal of Health Economics、Journal of Economic Behavior & Organization、《经济学(季刊)》、《管理科学学报》等国内外重要学术期刊匿名审稿人。

讲座时间:2026年6月3日(周三)14:00

讲座地点:金融学院116教室

内容摘要

We introduce a novel approach to identify state-dependent reporting bias in subjective health measures. The central idea is that health operates as a stock, making abrupt shifts in self-reported health (SRH) following retirement more likely to reflect reporting bias than actual changes. To capture such shifts, our analysis integrates three key elements: (1) differentiating stock and flow outcomes based on classical health theory; (2) leveraging an identification strategy inspired by regression discontinuity design; and (3) exploiting a unique high-frequency dataset on monthly health and retirement. Traditional estimates find a decline in SRH after retirement over longer periods; however, this decline steadily diminishes as the observation window narrows, showing no evidence of state-dependent reporting bias. Our analysis of short-term health dynamics also emphasizes distinguishing stock and flow health outcomes in policy evaluations.