全球智库信息集成服务系统(G2TT): DP14716 Social Interactions in Pandemics: Fear, Altruism, and Reciprocity

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP14716
	DP14716 Social Interactions in Pandemics: Fear, Altruism, and Reciprocity
	Laura Alfaro; Ester Faia; Nora Lamersdorf; Farzad Saidi
发表日期	2020-05-06
出版年	2020
语种	英语
摘要	Social interactions and social preferences play a central role in public health domains. In the face of a pandemic, individuals adjust their behavior, whereas in SIR models infection rates are typically exogenous. City-level data across countries suggest that mobility falls in response to fear, proxied by Google searches. Incorporating experimentally validated measures of social preferences at the regional level, we find that stringency measures matter less when individuals are more patient, altruistic, or exhibit less negative reciprocity. To account for these findings, we extend homogeneous and networked SIR models by endogenizing agents' social-activity intensity and incorporating social preferences. Our quantitative predictions markedly differ from those of the naïve SIR-network model. We derive the planner's problem, and show that neglecting agents' endogenous response leads to misguided policy decisions of various non-pharmaceutical interventions. Any further mobility restrictions, beyond agents' restraint, result from aggregate externalities which are curtailed by social preferences.
主题	Financial Economics ; International Macroeconomics and Finance ; International Trade and Regional Economics ; Macroeconomics and Growth ; Monetary Economics and Fluctuations
关键词	Social interactions Pandemics Mobility Cities Sir networks Social preferences Social planner Targeted policies
URL	https://cepr.org/publications/dp14716-3
来源智库	Centre for Economic Policy Research (United Kingdom)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/543635
推荐引用方式 GB/T 7714	Laura Alfaro,Ester Faia,Nora Lamersdorf,et al. DP14716 Social Interactions in Pandemics: Fear, Altruism, and Reciprocity. 2020.