全球智库信息集成服务系统(G2TT): Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w27590
来源ID	Working Paper 27590
	Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses
	Alberto Bisin; Andrea Moro
发表日期	2020-07-27
出版年	2020
语种	英语
摘要	We simulate a spatial behavioral model of the diffusion of an infection to understand the role of geographic characteristics: the number and distribution of outbreaks, population size, density, and agents’ movements. We show that several invariance properties of the SIR model concerning these variables do not hold when agents interact with neighbors in a (two dimensional) geographical space. Indeed, the spatial model’s local interactions generate matching frictions and local herd immunity effects, which play a fundamental role in the infection dynamics. We also show that geographical factors affect how behavioral responses affect the epidemics. We derive relevant implications for estimating the effects of the epidemics and policy interventions that use panel data from several geographical units.
主题	Microeconomics ; Health, Education, and Welfare ; Health ; Regional and Urban Economics ; Regional Economics ; COVID-19
URL	https://www.nber.org/papers/w27590
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/585261
推荐引用方式 GB/T 7714	Alberto Bisin,Andrea Moro. Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses. 2020.

条目包含的文件
文件名称/大小	资源类型	版本类型	开放类型	使用许可
w27590.pdf（5259KB）	智库出版物		限制开放	CC BY-NC-SA	浏览