Using Google Data to Understand Canadian Movement Reductions During the COVID-19 Pandemic

34 Pages Posted: 1 Jun 2020

See all articles by Jeff Chan

Jeff Chan

Wilfrid Laurier University

Date Written: May 12, 2020

Abstract

This paper analyzes the extent to which mobility in Canada declined during the COVID-19 pandemic, using publicly released mobility data from Google. I first report that visits to non-residential locations sharply dropped across provinces after states of emergency were put into effect, with a corresponding increase in visits to residential locations. I then show that factors such as the previous day’s new reported cases and interest in COVID-related terms, as measured by Google Trends data, can help explain the extent of mobility reductions across different days. Finally, I explore whether certain provincial characteristics can help explain cross-provincial differences in staying at home versus going out.

Keywords: COVID-19, stay-at-home, state of emergency, Google

JEL Classification: I12, I18

Suggested Citation

Chan, Jeff, Using Google Data to Understand Canadian Movement Reductions During the COVID-19 Pandemic (May 12, 2020). Available at SSRN: https://ssrn.com/abstract=3599227 or http://dx.doi.org/10.2139/ssrn.3599227

Jeff Chan (Contact Author)

Wilfrid Laurier University ( email )

75 University Avenue West
Waterloo, Ontario N2L 3C5
Canada

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
169
Abstract Views
1,705
Rank
321,600
PlumX Metrics