【AEW Webinar】German Long-Term Health Insurance: Theory Meets Evidence

---

• 研討會日期 : 2023-06-08
• 時間 : 08:30
• 主講人 : Professor Hanming Fang
• 地點 : Register and join online
• 演講者簡介 : Professor Hanming Fang received his Ph.D. in Economics from the University of Pennsylvania in 2000. He is currently Joseph M. Cohen Term Professor of Economics at the University of Pennsylvania. His research interests are Applied Microeconomic Theory, Empirical Microeconomics, Public Economics, and Chinese Economy.
• 演講摘要 : To insure policyholders against contemporaneous health expenditure shocks and future reclassification risk, long-term health insurance constitutes an alternative to community-rated short-term contracts with an individual mandate. We study the German long-term health insurance (GLTHI) from a life-cycle perspective. We first present and discuss insurer regulation, premium setting, and the main market principles of the GLTHI. We then empirically estimate the ingredients of a life-cycle model to assess the welfare effects of the GLTHI. We find that the GLTHI achieves a high level of welfare against several benchmarks. Finally, we discuss the implications for the health care reform debate in the U.S.
• Working Paper Title : Reducing Racial Disparities in Consumer Credit: Evidence from Anonymous Loan Applications
• Working Paper Abstract : Using a unique experiment of anonymizing online loan applications, we find that anonymous loan applications reduce racial disparities in access to credit. With names on applications, ethnic minority applicants are 10.6% less likely to receive online loan offers than otherwise identical ethnic majority applicants. Anonymizing applications eliminates such disparities. Anonymization merely delays revealing race until applicants visit the lender in person for required identity verification before loan origination. Yet, racial disparities in loan origination also decrease. We do not find significant racial gaps in loan performance before or after anonymization. Accurate statistical discrimination is unlikely to explain our results.
• Working Paper Speaker Biography : Professor Poorya Kabir received his Ph.D. in Finance and Economics from Columbia Business School in 2020. He is currently Assistant Professor of Finance at the NUS Business School, National University of Singapore. His research interests are Empirical Corporate Finance and Household Finance.