The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Bias in Perceptions of Public Opinion among Political Elites
Open accessAbstract
The conservative asymmetry of elite polarization represents a significant puzzle. We argue that politicians can maintain systematic misperceptions of constituency opinion that may contribute to breakdowns in dyadic representation. We demonstrate this argument with original surveys of 3,765 politicians’ perceptions of constituency opinion on nine issues. In 2012 and 2014, state legislative politicians from both parties dramatically overestimated their constituents’ support for conservative policies on these issues, a pattern consistent across methods, districts, and states. Republicans drive much of this overestimation. Exploiting responses from politicians in the same district, we confirm these partisan differences within individual districts. Further evidence suggests that this overestimation may arise due to biases in who contacts politicians, as in recent years Republican citizens have been especially likely to contact legislators, especially fellow Republicans. Our findings suggest that a novel force can operate in elections and in legislatures: Politicians can systematically misperceive what their constituents want.
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
An Economic Theory of Democracy.
Banfield, E. C., & Downs, A. (1958) · Midwest Journal of Political Science · doi:10.2307/2109186 · Cited by 18,594
Availability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984
Testing Theories of American Politics: Elites, Interest Groups, and Average Citizens
Gilens, M., & Page, B. I. (2014) · Perspectives on Politics · doi:10.1017/s1537592714001595 · Cited by 2,700
Constituency Influence in Congress
Miller, W. E., & Stokes, D. E. (1963) · American Political Science Review · doi:10.2307/1952717 · Cited by 2,293
The logic of congressional action
(1991) · Choice Reviews Online · doi:10.5860/choice.28-4778 · Cited by 1,813
Polarized America: the dance of ideology and unequal riches
(2007) · Choice Reviews Online · doi:10.5860/choice.44-3551 · Cited by 1,795
Democracy for Realists: Why Elections Do Not Produce Responsive Government
Achen, C. H., & Bartels, L. M. (2016) · Princeton University Press eBooks · doi:10.1515/9781400882731 · Cited by 1,729
Polarized America: The Dance of Ideology and Unequal Riches
Abrams, S. J. (2007) · Perspectives on Politics · doi:10.1017/s1537592707071873 · Cited by 1,316
The Tea Party and the Remaking of Republican Conservatism
Skocpol, T., & Williamson, V. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:osobl/9780199832637.001.0001 · Cited by 1,242
Affluence and influence: economic inequality and political power in America
(2013) · Choice Reviews Online · doi:10.5860/choice.50-4709 · Cited by 1,217
Cited by
The Ties That Double Bind: Social Roles and Women's Underrepresentation in Politics
TEELE, D. L., KALLA, J., & ROSENBLUTH, F. (2018) · American Political Science Review · doi:10.1017/s0003055418000217 · Cited by 382
Krupnikov, Y., & Ryan, J. B. (2022) · doi:10.1017/9781108923323 · Cited by 175
Ideology, Not Affect: What Americans Want from Political Representation
Costa, M. (2021) · American Journal of Political Science · doi:10.1111/ajps.12571 · Cited by 118
Bursztyn, L., & Yang, D. Y. (2022) · Annual Review of Economics · doi:10.1146/annurev-economics-051520-023322 · Cited by 117
Arceneaux, K., & Truex, R. (2023) · Perspectives on Politics · doi:10.1017/s1537592722000901 · Cited by 97
Metadata
- Authors
- BROOCKMAN, D. E., & SKOVRON, C.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 2018-03-22
- Volume
- 112
- Issue
- 3
- Pages
- 542-563
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W2790857376
- Cited by
- 503
- References
- 74
- FWCI
- 175.63
- Type
- journal article
- Language
- en
- Open access
- green
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: Bias in Perceptions of Public Opinion among Political Elites. https://app.cochat.ai/papers/10.1017/s0003055418000011
- The paper
- BROOCKMAN, D. E., & SKOVRON, C. (2018). Bias in Perceptions of Public Opinion among Political Elites. American Political Science Review. https://doi.org/10.1017/s0003055418000011
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.