保险与金融工程教研室学术讲座

报告题目：A New Testing Method for Justification Bias Using High-Frequency Data of Health and Employment

报  告  人：Jiayi Wen （厦门大学 助理教授）

主  持  人：程春丽（中山大学岭南学院 副教授）

时       间：2024年10月25日（周五）10:30

地       址：岭南堂汪道涵会议室(101)

语       言：英文+中文

摘要:

Justification bias, wherein retirees may report poorer health to rationalize their retirement, poses a major concern to the widely-used measure of self-assessed health in retirement studies. This paper introduces a novel method for testing the presence of this bias in the spirit of regression discontinuity. The underlying idea is that any sudden shift in self-assessed health immediately following retirement is more likely attributable to the bias. Our strategy is facilitated by a unique high-frequency data that offers monthly, in contrast to the typical biennial, information on employment, self-assessed health, and objective health conditions. Across a wider post-retirement time frame, we observe a decline in self-assessed health, potentially stemming from both justification bias and changes in actual health. However, this negative effect diminishes with shorter intervals, indicating no evidence of such bias. Our method also validates a widely-used indirect testing approach.

报告人介绍：

Jiayi Wen (文家奕) is an Assistant Professor at the Wang Yanan Institute for Studies in Economics (WISE) and the School of Economics at Xiamen University, China. His research interests include labor economics, public economics, health economics and applied econometrics. He is particularly interested in household and individual decision making at different stages of their life cycle, from the dynamic, heterogeneous and behavioral perspectives. His research has been published at the top-ranked health economics journal, The Journal of Health Economics.

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