Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,036

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms

Svensson, J.·2003·The Quarterly Journal of Economics

Abstract

This paper uses a unique data set on corruption containing quantitative information on bribe payments of Ugandan firms. The data have two striking features: not all firms report that they need to pay bribes, and there is considerable variation in reported graft across firms facing similar institutions/policies. We propose an explanation for these patterns, based on differences in control rights and bargaining strength across firms. Consistent with the control rights/bargaining hypotheses, we find that the incidence of corruption can be explained by the variation in policies/regulations across industries. How much must bribe-paying firms pay? Combining the quantitative data on corruption with detailed financial information from the surveyed firms, we show that firms' “ability to pay” and firms' “refusal power” can explain a large part of the variation in bribes across graft-reporting firms. These results suggest that public officials act as price (bribe) discriminators, and that prices of public services are partly determined in order to extract bribes.

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 · 10.1162/00335530360535180

Cites

2 of 2 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 2 references

Cited by

See all 1,036

Metadata

Authors
Svensson, J.
Venue
The Quarterly Journal of Economics
Published
2003-02-01
Volume
118
Issue
1
Pages
207-230
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2030474275
Cited by
1,036
References
2
FWCI
140.07
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: Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms. https://app.cochat.ai/papers/10.1162/00335530360535180
The paper
Svensson, J. (2003). Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms. The Quarterly Journal of Economics. https://doi.org/10.1162/00335530360535180

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.