Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 367

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.

Advancing the Empirical Research on Lobbying

Open access
de Figueiredo, John M., Richter, Brian Kelleher·2014·Annual Review of Political Science

Abstract

This review identifies empirical facts about lobbying that are generally agreed upon in the literature. It then discusses challenges to empirical research in lobbying and provides examples of empirical methods that can be employed to overcome these challenges—with an emphasis on statistical measurement, identification, and casual inference. The article then discusses the advantages, disadvantages, and effective use of the main types of data available for research in lobbying. It closes with a number of open questions for researchers in the field and avenues for future work to advance empirical research on lobbying.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1146/annurev-polisci-100711-135308

Cites

96 of 96 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 96 references

Cited by

See all 367

Metadata

Authors
de Figueiredo, J. M., & Richter, B. K.
Venue
Annual Review of Political Science
Published
2014-05-11
Volume
17
Issue
1
Pages
163-185
ISSN
  • 1094-2939 (ISSN-L)
  • 1545-1577
OpenAlex
W3022390465
Cited by
367
References
96
FWCI
14.32
Type
journal article
Language
en
Open access
bronze

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: Advancing the Empirical Research on Lobbying. https://app.cochat.ai/papers/10.1146/annurev-polisci-100711-135308
The paper
de Figueiredo, J. M., & Richter, B. K. (2014). Advancing the Empirical Research on Lobbying. Annual Review of Political Science. https://doi.org/10.1146/annurev-polisci-100711-135308

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.