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Candidate Qualifications Still Matter in Low-Info Elections?
Insights from the Field
descriptive representation
low information elections
democratic context
quantitative analysis
Voting and Elections
Pol. Behav.
2 R files
2 datasets
Dataverse
Fit for the Job: Candidate Qualifications and Vote Choice in Low Information Elections was authored by Lonna Rae Atkeson and Brian T. Hamel. It was published by Springer in Pol. Behav. in 2020.

In elections where voters have limited information, candidate qualifications might not seem crucial.

Data & Methods: The study uses data from low-information election scenarios. It employs quantitative analysis to explore how voter perceptions influence outcomes.

Key Findings: Voter choices are significantly influenced by visible and communicated candidate qualifications, even in cases with minimal campaign exposure or information access.

Why It Matters: This research underscores the enduring importance of non-partisan political experience as a cue for decision-making. Results highlight that descriptive representation matters across different informational contexts.

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Political Behavior
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