{"title":"Large-Scale Evidence for the Effectiveness of Partisan GOTV Robo Calls","authors":"Daniel T. Kling, Thomas Stratmann","doi":"10.1017/XPS.2022.16","DOIUrl":null,"url":null,"abstract":"Abstract 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.","PeriodicalId":37558,"journal":{"name":"Journal of Experimental Political Science","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Political Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/XPS.2022.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract 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.
期刊介绍:
The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.