Field | Before | After |
---|---|---|
Field Trial Status | Before in_development | After completed |
Field Last Published | Before April 06, 2020 01:42 PM | After September 07, 2020 05:31 PM |
Field Study Withdrawn | Before | After No |
Field Intervention Completion Date | Before | After April 07, 2020 |
Field Data Collection Complete | Before | After Yes |
Field Final Sample Size: Number of Clusters (Unit of Randomization) | Before | After 2000 individuals |
Field Was attrition correlated with treatment status? | Before | After No |
Field Final Sample Size: Total Number of Observations | Before | After 2000 individuals |
Field Final Sample Size (or Number of Clusters) by Treatment Arms | Before | After 1013 incentivized predictions, 987 unincentivized predictions. 1013 saw the COVID-19 cases prediction question first, 987 saw the Trump approval question first. Assignment in these groups was not correlated. |
Field Data Collection Completion Date | Before | After April 07, 2020 |
Field Public analysis plan | Before No | After Yes |
Field | Before | After |
---|---|---|
Field Paper Abstract | Before | After We study partisan differences in Americans’ response to the COVID-19 pandemic. Political leaders and media outlets on the right and left have sent divergent messages about the severity of the crisis, which could impact the extent to which Republicans and Democrats engage in social distancing and other efforts to reduce disease transmission. We develop a simple model of a pandemic response with heterogeneous agents that clarifies the causes and consequences of heterogeneous responses. We use location data from a large sample of smartphones to show that areas with more Republicans engaged in less social distancing, controlling for other factors including public policies, population density, and local COVID cases and deaths. We then present new survey evidence of significant gaps at the individual level between Republicans and Democrats in self-reported social distancing, beliefs about personal COVID risk, and beliefs about the future severity of the pandemic. |
Field Paper Citation | Before | After Allcott, Hunt, Levi Boxell, Jacob Conway, Matthew Gentzkow, Michael Thaler, and David Yang. Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic. Journal of Public Economics, forthcoming. |
Field Paper URL | Before | After https://doi.org/10.1016/j.jpubeco.2020.104254 |