Replication Data for: Is it Possible to Predict Electoral Abstention on the Individual Level? A Preregistered Test on Forecasting the Effects of Abolishing Compulsory Voting in Belgium.
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://doi.org/10.7910/DVN/A1NFHO
下载链接
链接失效反馈官方服务:
资源简介:
There is a vast literature on determinants of electoral turnout that allows us to forecast which groups of the population will turn out to vote, and which will not. In this study, we report on a rather unique forecasting experiment on the individual level. In June 2024, elections were held in Belgium with compulsory voting. In October 2024, another election was held, but this time without compulsory voting. Simultaneously, a panel survey was conducted, spanning from April to November 2024. The information in the first two waves of the panel were used to forecast the likelihood of individual respondents turning out again in October, which we pre-registered. The forecasting models were indeed successful in predicting who would turn out to vote, but they tend to give relatively elevated turnout likelihood scores to non-voters. The prediction models tend to underestimate the effect of political interest in explaining actual electoral turnout.
创建时间:
2025-04-15



