The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Who Is Mobilized to Vote? A Re‐Analysis of 11 Field Experiments
Abstract
Many political observers view get‐out‐the‐vote (GOTV) mobilization drives as a way to increase turnout among chronic nonvoters. However, such a strategy assumes that GOTV efforts are effective at increasing turnout in this population, and the extant research offers contradictory evidence regarding the empirical validity of this assumption. We propose a model where only those citizens whose propensity to vote is near the indifference threshold are mobilized to vote and the threshold is determined by the general interest in the election. Our three‐parameter model reconciles prior inconsistent empirical results and argues that low‐propensity voters can be effectively mobilized only in high‐turnout elections. The model is tested on 11 randomized face‐to‐face voter mobilization field experiments in which we specifically analyze whether subjects' baseline propensity to vote conditions the effectiveness of door‐to‐door GOTV canvassing. The evidence is consistent with the model and suggests that face‐to‐face mobilization is better at stimulating turnout among low‐propensity voters in prominent elections than it is in quiescent ones.
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Cites
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
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Voice and equality: civic voluntarism in American politics
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Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Mobilization, participation, and democracy in America
Rosenstone, S. J., & Hansen, J. M. (1993) · Medical Entomology and Zoology · Cited by 3,590
A Theory of the Calculus of Voting
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The Effects of Canvassing, Telephone Calls, and Direct Mail on Voter Turnout: A Field Experiment
Gerber, A. S., & Green, D. P. (2000) · American Political Science Review · doi:10.2307/2585837 · Cited by 1,380
On judging the significance of differences by examining the overlap between confidence intervals.
Schenker, N., & Gentleman, J. F. (2001) · The American Statistician · doi:10.1198/000313001317097960 · Cited by 1,218
Get out the vote: how to increase voter turnout
(2016) · Choice Reviews Online · doi:10.5860/choice.194933 · Cited by 952
Estimating the Demand for a New Technology: Bt Cotton and Insecticide Policies
Hubbell, B. J., Marra, M. C., & Carlson, G. A. (2000) · American Journal of Agricultural Economics · doi:10.1111/0002-9092.00010 · Cited by 720
Cited by
The embarrassment of riches? A meta-analysis of individual-level research on voter turnout
Smets, K., & van Ham, C. (2013) · Electoral Studies · doi:10.1016/j.electstud.2012.12.006 · Cited by 799
The Formation of Voting Habits
Dinas, E. (2012) · Journal of Elections, Public Opinion & Parties · doi:10.1080/17457289.2012.718280 · Cited by 138
The Conditional Effects of Microtargeted Facebook Advertisements on Voter Turnout
Haenschen, K. (2023) · Political Behavior · doi:10.1007/s11109-022-09781-7 · Cited by 45
Who is mobilized to vote by information about voter ID laws?
Endres, K., & Panagopoulos, C. (2023) · Politics, Groups, and Identities · doi:10.1080/21565503.2021.1932530 · Cited by 3
Metadata
- Authors
- Arceneaux, K., & Nickerson, D. W.
- Venue
- American Journal of Political Science
- Publisher
- Wiley
- Published
- 2008-12-24
- Volume
- 53
- Issue
- 1
- Pages
- 1-16
- ISSN
- 0092-5853 (ISSN-L)
- 1540-5907
- OpenAlex
- W2078895375
- Cited by
- 309
- References
- 35
- FWCI
- 66.24
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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