Crowdsourcing Political Models of Covid-19 Mortality
Study ID sspp-2021-0015-v5
General Details
Project
Crowdsourcing Political Models of Covid-19 Mortality
Study ID sspp-2021-0015-v5
Study Title
Crowdsourcing Political Models of Covid-19 Mortality
Authors
Miriam Golden, Alex Scacco, Kim Yi Dionne, Alberto Diaz-Cayeros, Macartan Humphreys, Sampada KC, Eva Vivalt, Haoyu Zhai
Completion Time
10 Minutes
Close Date
June 4, 2021
Discipline
Political Science
Field
Comparative Politics
Country
Global (>10 countries), India, Mexico, United States
Abstract
Does democracy save lives? Do female political leaders respond more effectively to public health crises? Are ethnically diverse societies more vulnerable to COVID-19? How do you think political and social features of countries relate to cumulative COVID-19 deaths? We have compiled statistical models that predict future COVID-19 mortality across and within countries. Which models do you think are true?
This survey is anonymous and no personally identifying information will be visible to the research team, even if you log in.
Forecast Distributions
When uploading forecasting surveys, authors are asked to select several key questions which are often the questions they think are the most important to the study.
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Citation
Golden, Miriam, Scacco, Alex, Dionne, Kim Yi, Diaz-Cayeros, Alberto, Humphreys, Macartan, KC, Sampada, Vivalt, Eva, and Haoyu Zhai. 2021. "Crowdsourcing Political Models of Covid-19 Mortality." Social Science Prediction Platform. May 5.
https://socialscienceprediction.org/s/zz0a00
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