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Compliance with social distancing: Theory and empirical evidence from Ontario during COVID‐19
Author(s) -
Papanastasiou Anastasios,
Ruffle Bradley J.,
Zheng Angela
Publication year - 2022
Publication title -
canadian journal of economics/revue canadienne d'économique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 69
eISSN - 1540-5982
pISSN - 0008-4085
DOI - 10.1111/caje.12565
Subject(s) - social distance , subsidy , compliance (psychology) , wage , apartment , distancing , covid-19 , politics , business , demographic economics , psychology , social psychology , public economics , economics , political science , labour economics , medicine , disease , pathology , infectious disease (medical specialty) , law , market economy
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.