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Replication Data for: Large-Scale Evidence for the Effectiveness of Partisan GOTV Robo Calls

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Large-Scale Evidence for the Effectiveness of Partisan GOTV Robo Calls
 
Identifier https://doi.org/10.7910/DVN/DMJ7EA
 
Creator Kling, Daniel
Stratmann, Thomas
 
Publisher Harvard Dataverse
 
Description We document the effectiveness of automated (robo) calls for increasing voter participation in contrast to most published research which finds little or no effect from automated calls. We establish this finding in a large field experiment which mimics campaign behavior with a targeted, partisan get-out-the-vote campaign. Our findings show that across all treatments, automated calls led to three additional votes for every thousand subjects called during the 2014 midterm general election. Additionally, our experimental design allows for testing how the number of calls in a treatment, that is dosage, affects voter turnout. Here, results show that three extra calls increase the treatment effect to seven additional votes per thousand subjects called, but that too many additional calls decrease that effect to statistical insignificance in a six-call treatment.
 
Subject Social Sciences
elections, voter turnout, robo calls, field experiment, GOTV
 
Contributor Kling, Daniel