Working from a distance: Who can afford to stay home during COVID-19? Evidence from mobile device data
Dimke, C.; Lee, M. C.; Bayham, J.
Show abstract
As the COVID-19 pandemic continues, local and state governments must weigh the costs and benefits of social distancing policy. However, the effectiveness of such policies depend on individuals willingness and ability to comply. We propose a simple method to infer sociodemographic heterogeneity in social distancing as measured by Safegraph mobile device data. We document evidence that peoples ability to work from home is a determinant of time spent at home since the beginning of the pandemic. On April 15th, census block groups that are more likely able to work from home spent 3 more hours at home compared to those who were not. We see supporting trends among block groups with differences in income and educational attainment. JELJ19, J69, Z00
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Public participation in crisis policymaking. How 30,000 Dutch citizens advised their government on relaxing COVID-19 lockdown measures 93%
- Characterizing rurality using the All of Us research program data 92%
- State-level variation of initial COVID-19 dynamics in the United States: The role of local government interventions 91%
Similar papers in this journal
- Adoption and continued use of mobile contact tracing technology: Multilevel explanations from a three-wave panel survey and linked data 92%
- Social, Financial and Psychological Stress during an Emerging Pandemic: Observations from a Population Web-Based Survey in the acute phase of the COVID-19 pandemic 92%
- Information given by websites selling home self-sampling COVID-19 tests: An analysis of accuracy and completeness 91%
Similar papers in this journal
- Evaluating the policy of closing bars and restaurants in Cataluña and its effects on mobility and COVID19 incidence 93%
- Yet another lockdown? A large-scale study on people’s unwillingness to be confined during the first 5 months of the COVID-19 pandemic in Spain 93%
- Mapping internet activity in Australian cities during COVID-19 lockdown: how occupational factors drive inequality 93%
Similar papers in this journal
- Summer School Holidays and the Growth Rate in Sars-CoV-2 Infections Across German Districts 92%
- COVID-19 in Bangladesh: Measuring differences in individual precautionary behaviors among young adults 89%
- Health and economic effects of COVID-19 control in Australia: Modelling and quantifying the payoffs of hard versus soft lockdown 89%
Similar papers in this journal
- On the effectiveness of COVID-19 restrictions and lockdowns: Pan metron ariston 92%
- Effect of different resumption strategies to flatten the potential COVID-19 outbreaks amid society reopens: a modeling study 91%
- Time trends in social contacts before and during the COVID-19 pandemic: the CONNECT study 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.