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Insights from the Field

Survey vs Field: Why Corrupt Politicians' Vote Share Varies Dramatically


Corruption Information
Voter Accountability
survey experiment
field experiment
Voting and Elections
APSR
10 R files
2 Stata files
12 datasets
1 other files
1 text files
Dataverse
Corruption Information and Vote Share: A Meta-Analysis and Lessons for Experimental Design was authored by Trevor Incerti. It was published by Cambridge in APSR in 2020.

Does corruption information affect voting behavior? This meta-analysis shows stark differences between survey and field experiments.

Surprising Findings:

* Voters punish corrupt politicians differently depending on the experimental setting:

* Field experiments show minimal effects (-0 pts)

* Survey experiments reveal substantial negative impacts (-32 pts)

Key Takeaways:*

* The discrepancy likely arises from methodological differences between survey and field experiments.

Methodological Challenges:

* Small field experiment effects may result from weak treatments or candidate noncompliance.

* Large survey experiment effects could stem from social desirability bias in responses.

* Hypothetical nature of costs in surveys might inflate perceived punishment.

* Conjoint experiments (costly trade-offs) may not capture real-world voter decision-making accurately.

Implications:

This research suggests that while survey experiments provide useful insights, their results may overestimate the actual impact of corruption information on votes due to artificial contexts. Field experiments offer more realistic estimates but still face design constraints.

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American Political Science Review
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