“Projecting social contact matrices in 152 countries using contact surveys and demographic data” by Kiesha Prem, Alex R. Cook
The course of the epidemic: can be found here on github.
A critical review here. False positives are a big issue for this type of test.
Oxford’s Blavatnik School of Government is tracking government responses to Covid-19 on a by country basis. The data is downloadable in several formats and there is a working paper describing how it is collected and what it means.
An article by Julian Jamison in the Washington Post warning of the consequences of locking down for low income countries.
The Subways Seeded the Massive Coronavirus Epidemic in New York City
Jeffrey E. Harris #27021
Economic Policy Incentives to Preserve Lives and Livelihoods
Roberto Chang and Andrés Velasco #27020
Lock-downs, Loneliness and Life Satisfaction
Daniel S. Hamermesh #27018
Covid-19: Testing Inequality in New York City
Stephanie Schmitt-Grohé, Ken Teoh, and Martín Uribe #27019
Did California’s Shelter-in-Place Order Work? Early Coronavirus-Related Public Health Benefits
Andrew I. Friedson, Drew McNichols, Joseph J. Sabia, and Dhaval Dave #26992
Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic
John M. Barrios and Yael Hochberg #27008
Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem
Charles F. Manski and Francesca Molinari #27023
Covid-19 Infection Externalities: Trading Off Lives vs. Livelihoods
Zachary A. Bethune and Anton Korinek #27009
Labor Markets During the COVID-19 Crisis: A Preliminary View
Olivier Coibion, Yuriy Gorodnichenko, and Michael Weber #27017
Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists
Christopher Avery, William Bossert, Adam Clark, Glenn Ellison, and Sara Fisher Ellison #27007
Bendavid et al report the results of a “representative sample” recruited from Facebook of anti-body testing.
Carvalho et al in “Tracking the COVID-19 crisis with high resolution transaction data” find a nearly 50% decline in activity after the lockdown and about a 50% increase in the share of online sales. In the days before the lockdown there was about a 20% increase in sales – presumably due to stockpiling.
Some interesting back of the envelope calculations by Kevin Drum.