Compliance with social distancing: Theory and empirical evidence from Ontario during COVID‐19
利用安大略省居民在COVID-19疫情期间的行为数据，构建理论模型并检验影响社交距离合规的因素，发现感染风险、政治信仰、风险偏好等显著预测合规，且罚款和工资补贴对年轻人、健康者等群体有效。
Abstract We study the factors associated with compliance with social‐distancing regulations using a unique data set on the behaviour of Ontarians during the COVID‐19 pandemic. To start, we build a simple theoretical model of social distancing in order to understand how some individual and community‐level factors influence compliance. We test our model's predictions by designing and conducting a survey on Ontarians in June and July 2020 in which we elicit their degree of compliance with existing distancing regulations as well as alternative policies such as fines for non‐compliance and wage subsidies for staying at home. Consistent with our model, we find that variables related to one's risk of infection (e.g., pre‐existing health condition, age, necessity of working outside the home and regional COVID‐19 cases) are significant predictors of compliance as are gender, political beliefs, risk and time preferences. To boost compliance among those who are young, healthy or apartment dwellers, we demonstrate the effectiveness of fines and wage subsidies.