The DOI matches its Crossref record.
Electoral Engineering: Voting Rules and Political Behavior
Abstract
Electoral Engineering: Voting Rules and Political Behavior. By Pippa Norris. Cambridge: Cambridge University Press, 2004. 390p. $70.00 cloth, $25.99 paper. Over 20 years ago, William Riker proposed that the study of electoral systems and their consequences constituted the best-developed research program in contemporary political science. Scores of scholars followed Maurice Duverger's lead, emphasizing how institutions affect the strategic environment facing political actors and the contours of party systems. Other researchers followed Seymour Martin Lipset's and Stein Rokkan's lead, privileging social cleavages as the main features influencing party system development. Recently, scholars have attempted to reconcile or integrate the competing approaches. Pippa Norris's new book fits into this trend by evaluating the two schools of thought side by side, harnessing valuable data produced by the Comparative Study of Electoral Systems (CSES).
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
Cited by
Blais, A. (2006) · Annual Review of Political Science · doi:10.1146/annurev.polisci.9.070204.105121 · Cited by 785
KARP, J. A., & BANDUCCI, S. A. (2008) · British Journal of Political Science · doi:10.1017/s0007123408000161 · Cited by 406
Electoral institutions and popular confidence in electoral processes: A cross-national analysis
Birch, S. (2008) · Electoral Studies · doi:10.1016/j.electstud.2008.01.005 · Cited by 280
What Affects Voter Turnout? A Review Article/Meta-Analysis of Aggregate Research
Stockemer, D. (2017) · Government and Opposition · doi:10.1017/gov.2016.30 · Cited by 180
Metadata
- Authors
- Herron, E. S.
- Venue
- Perspectives on Politics
- Publisher
- Cambridge University Press (CUP)
- Published
- 2005-03
- Volume
- 3
- Issue
- 1
- Pages
- 192-193
- ISSN
- 1537-5927 (ISSN-L)
- 1541-0986
- OpenAlex
- W2139163683
- Cited by
- 180
- References
- 0
- FWCI
- 33.64
- 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: Electoral Engineering: Voting Rules and Political Behavior. https://app.cochat.ai/papers/10.1017/s1537592705560146
- The paper
- Herron, E. S. (2005). Electoral Engineering: Voting Rules and Political Behavior. Perspectives on Politics. https://doi.org/10.1017/s1537592705560146
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.
