The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program
Evidence from the 2017 Virginia State Elections
Bibliographic Data
| ID | 13015671 |
|---|---|
| Authors | Cassandra Handan‐nader (0000-0003-4868-2509, Stanford University, corresponding author), Daniel E Ho (0000-0002-2195-5469, Stanford University), Alison D Morantz, Tom A Rutter (London School of Economics and Political Science) |
| Year | 2021 |
| Volume | 8 |
| Issue | 2 |
| Pages | 145-160 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Experimental Political Science (JOURNAL) |
| Journal identifiers | ISSN: 2052-2630 • E-ISSN: 2052-2649 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/xps.2020.11 |
| OpenAlex | W3161712212 |
| Language | EN |
| Citations received | 2 |
| References cited | 20 |
We analyze the results of a neighbor-to-neighbor, grassroots get-out-the-vote (GOTV) drive in Virginia, in which unpaid volunteers were encouraged to contact at least three nearby registered voters who were likely co-partisans yet relatively unlikely to vote in the 2017 state election. To measure the campaign’s effectiveness, we used a pairwise randomization design whereby each volunteer was assigned to one randomly selected member of the most geographically proximate pair of voters. Because some volunteers unexpectedly signed up to participate outside their home districts, we analyze the volunteers who adhered to the original hyper-local program design separately from those who did not. We find that the volunteers in the original program design drove a statistically significant 2.3% increase in turnout, which was concentrated in the first voter pair assigned to each volunteer. We discuss implications for the study and design of future GOTV efforts
Algorithm · Demographic economics · Economics · Grassroots · Pairwise comparison · Political science · Politics · Randomized experiment · State (computer science · Statistics · Turnout · Voter turnout · Voting · Computer Science · Electoral Systems and Political Participation · Internet Traffic Analysis and Secure E-voting · Law · Mathematics · Psychology · Social Media and Politics
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| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |