FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
Why Do Citizens' Election Predictions Differ Across States? A State-by-State Experiment
Insights from the Field
citizen forecasting
state politics
election predictions
public opinion
American Politics
PS
4 R files
7 other files
1 HTML files
1 PDF files
2 datasets
1 text files
Dataverse
Citizen Forecasting 2020: A State-by-State Experiment was authored by Andreas Murr and Michael S. Lewis-Beck. It was published by Cambridge in PS in 2021.

Introduction: What happens when ordinary citizens try to predict election outcomes based on their own knowledge and beliefs? This study investigates citizen forecasting, an emerging phenomenon in the 2020 U.S. elections.

The Experiment: We conducted a state-by-state analysis of how people across different U.S. states predicted electoral results.

* Data & Methods: Leveraged survey data collected from participants in all 50 U.S. states during early voting periods, combining self-reported beliefs with actual election outcomes.

* Key Findings:

  • State residents were significantly more accurate than random chance when predicting local or state-level elections
  • Accuracy varied dramatically based on political engagement and media consumption habits
  • Higher education levels correlated with better forecasting accuracy in all states examined

Why It Matters: These findings suggest that ordinary citizens can effectively predict election outcomes, particularly for issues closely affecting their daily lives. This challenges assumptions about the need for professional pollsters and data analysts in democratic processes.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
PS: Political Science & Politics
Podcast host Ryan