Replication Data for: Citizen Assessment of Electoral Reforms: Do Evaluations of Fairness Blunt Self-Interest?
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Citizen Assessment of Electoral Reforms: Do Evaluations of Fairness Blunt Self-Interest?
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Identifier |
https://doi.org/10.7910/DVN/XFCGKU
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Creator |
Biggers, Daniel
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Publisher |
Harvard Dataverse
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Description |
A large literature shows that citizens care about the procedural fairness of rules and institutions. This body of work suggests that citizen evaluations of institutional changes should be constrained by fairness considerations, even if they would personally benefit from the reforms. We test this expectation using two panel studies to examine whether citizens become more accepting of proposals rated as unfair (in wave one) after we experimentally manipulate (in wave two) whether the proposals aid their party’s electoral prospects. Using this approach, we are able to establish what citizens see to be fair or unfair separate from their evaluation of a given rule change. We find that supporters of both parties are consistently more favorable toward reforms their fellow partisans and, crucially, they themselves, claim reduce electoral fairness when framed as advancing their partisan interests. The results provide important insights into how citizens evaluate electoral processes, procedural fairness, and, hence, the acceptable limits of institutional change.
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Subject |
Social Sciences
Election reform, Procedural fairness, Partisan self-interest, Panel survey experiment, Public opinion |
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Contributor |
Biggers, Daniel
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