Cited by 100Electoral Systems and Political ParticipationGame Theory and Voting SystemsPolitical Science Research and Education

A Bridge to Somewhere: Mapping State and Congressional Ideology on a Cross‐institutional Common Space

SHOR, BORIS, BERRY, CHRISTOPHER, MCCARTY, NOLAN·2010·Legislative Studies Quarterly

Abstract

Researchers face two major problems when applying ideal point estimation techniques to state legislatures. First, longitudinal roll‐call data are scarce. Second, even when such data exist, scaling ideal points within a single state is an inadequate approach. No comparisons can be made between these estimates and those for other state legislatures or for Congress. Our project provides a solution. We exploit a new comparative dataset of state legislative roll calls to generate ideal points for legislators. Taking advantage of the fact that state legislators sometimes go on to serve in Congress, we create a common ideological scale. Using these bridge actors, we estimate state legislative ideal points in congressional common space for 11 states. We present our results and illustrate how these scores can be used to address important topics in state and legislative politics.

Integrity signals

Registry

Crossref · 10.3162/036298010792069198

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Ideology estimates for citizens, state legislators, PACs, and political candidates were not previously available.

    “One important reason why the work by Jessee (2009), Shor, Berry, and McCarty (2010), and Bonica (2013b) represents an important contribution to the measurement literature is that ideology estimates for citizens, state legislators, political action committees (PACs), and political candidates were not previously available.”

    From Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2015) · cites this paper as Shor, Berry, and McCarty 2010

Cites

Flagged first, then by citations

Cited by

Authors
SHOR, B., BERRY, C., & MCCARTY, N.
Affiliations
  • University of Chicago (US)
  • Princeton University (US)
Corresponding author
  • SHOR, BORIS
  • BERRY, CHRISTOPHER
  • MCCARTY, NOLAN
Venue
Legislative Studies Quarterly
Publisher
Wiley
Published
2010-08
Volume
35
Issue
3
Pages
417-448
ISSN
  • 0362-9805 (ISSN-L)
  • 1939-9162
OpenAlex
W2081374258
Cited by
100
References
1
Citations by year
2025: 1 · 2024: 4 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 8 · 2018: 7 · 2017: 4 · 2016: 13 · 2015: 10 · 2014: 9 · 2013: 11 · 2012: 13
FWCI
68.19
Type
journal article
Language
en
Open access
closed
Locations
Legislative Studies Quarterly (publishedVersion)
Topics
  • Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
  • Social Sciences › Political Science and International Relations › Political Science Research and Education
Keywords
state legislatures, legislative ideology, ideal point estimation, inter-institutional comparison, roll call data, legislative careers

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