Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 303

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

What Do Corruption Indices Measure?

Open access
Donchev, Dilyan, Ujhelyi, Gergely·2014·Economics & Politics

Abstract

Evidence from the International Crime Victimization Survey and the World Business Environment Survey suggests that actual corruption experience is a weak predictor of reported corruption perception, and that some of the factors commonly found to “reduce” corruption, such as economic development, democratic institutions or Protestant traditions, systematically bias corruption perception indices downward from corruption experience. In addition, perception indices are influenced by absolute (as opposed to relative) levels of corruption, which tends to penalize large countries, and they exhibit diminishing sensitivity to both absolute and relative corruption, indicating that they may better capture differences among countries with low levels of corruption than among highly corrupt ones. Individual characteristics such as education, age, or employment status, and firm‐level characteristics such as the number of competitors are also found to influence corruption perceptions holding experience constant.

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 · 10.1111/ecpo.12037

Cites

46 of 46 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 46 references

Cited by

See all 303

Metadata

Authors
Donchev, D., & Ujhelyi, G.
Venue
Economics & Politics
Publisher
Wiley
Published
2014-03-04
Volume
26
Issue
2
Pages
309-331
ISSN
  • 0954-1985 (ISSN-L)
  • 1468-0343
OpenAlex
W3206889639
Cited by
303
References
46
FWCI
19.54
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: What Do Corruption Indices Measure? https://app.cochat.ai/papers/10.1111/ecpo.12037
The paper
Donchev, D., & Ujhelyi, G. (2014). What Do Corruption Indices Measure? Economics & Politics. https://doi.org/10.1111/ecpo.12037

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.