Social interactions and households' flood insurance decisions
成果类型:
Article
署名作者:
Hu, Zhongchen
署名单位:
The Chinese University of Hong Kong, Shenzhen
刊物名称:
JOURNAL OF FINANCIAL ECONOMICS
ISSN/ISSBN:
0304-405X
DOI:
10.1016/j.jfineco.2022.02.004
发表日期:
2022
页码:
414-432
关键词:
flood insurance
social learning
peer effects
social networks
摘要:
Flooding is the most costly natural disaster faced by US households, yet policymakers are puzzled by the low take-up rates for flood insurance. Leveraging novel transaction-level data, this paper studies the influence of social interactions on households' insurance de-cisions. I show that households increase flood insurance purchases by 1-5 percent when their geographically distant friends are exposed to flooding events or to campaigns for flood insurance. These exogenous shocks to far-away friends should not affect local house-holds' own insurance decisions except through peer effects. I provide evidence suggesting that social interactions facilitate learning through information dissemination and attention triggering. (c) 2022 Elsevier B.V. All rights reserved.