• Figure 5.5. Predicting Change in the Invalid Vote Using Features of Null Vote Campaigns Source: Original data collection, electoral management bodies. Note: The figure shows coefficient estimates from an OLS regression model regressing change in the invalid vote compared to a recent baseline election on indicator variables for each campaign attribute (N = 36). The figure shows 90% confidence intervals, with 80% confidence intervals (two-tailed) at the vertical hash marks. I control for year, and standard errors are clustered at the country level.

Predicting Change in the Invalid Vote using Features of Null Vote Campaigns

From None of the Above: Protest Voting in Latin American Democracies by Mollie J. Cohen

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  • Latin American Studies
  • Political Science:Political Behavior and Public Opinion
  • Political Science:Governance
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