The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Theory of Participation in Elections
Abstract
We analyze a model of participation in elections in which voting is costly and no vote is pivotal. Ethical agents are motivated to participate when they determine that agents of their type are obligated to do so. Unlike previous duty-based models of participation, in our model an ethical agent's obligation to vote is determined endogenously as a function of the behavior of other agents. Our model predicts high turnout and comparative statics that are consistent with strategic behavior.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Making Votes Count: Strategic Coordination in the World's Electoral Systems
Cox, G. W. (1997) · doi:10.1017/cbo9781139174954 · Cited by 2,281
Cited by
From Violence to Voting: War and Political Participation in Uganda
BLATTMAN, C. (2009) · American Political Science Review · doi:10.1017/s0003055409090212 · Cited by 898
Lodge, M., & Taber, C. S. (2005) · Political Psychology · doi:10.1111/j.1467-9221.2005.00426.x · Cited by 588
Descriptive Social Norms and Motivation to Vote: Everybody's Voting and so Should You
Gerber, A. S., & Rogers, T. (2009) · The Journal of Politics · doi:10.1017/s0022381608090117 · Cited by 561
Do Political Protests Matter? Evidence from the Tea Party Movement*
Madestam, A., Shoag, D., Veuger, S., & Yanagizawa-Drott, D. (2013) · The Quarterly Journal of Economics · doi:10.1093/qje/qjt021 · Cited by 431
Learning Together Slowly: Bayesian Learning about Political Facts
Hill, S. J. (2017) · The Journal of Politics · doi:10.1086/692739 · Cited by 159
Metadata
- Authors
- Feddersen, T., & Sandroni, A.
- Venue
- The American Economic Review
- Publisher
- American Economic Association
- Published
- 2006-09-01
- Volume
- 96
- Issue
- 4
- Pages
- 1271-1282
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2016278092
- Cited by
- 402
- References
- 1
- FWCI
- 31.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Theory of Participation in Elections. https://app.cochat.ai/papers/10.1257/000282806779468571
- The paper
- Feddersen, T., & Sandroni, A. (2006). A Theory of Participation in Elections. The American Economic Review. https://doi.org/10.1257/000282806779468571
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.