Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 457

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Democracy, Credibility, and Clientelism

Keefer, P., Vlaicu, R.·2007·Journal of Law, Economics, and Organization

Abstract

Despite having adopted the political institutions of established democracies, democratizing countries display a systematically different pattern of fiscal outcomes. This article attributes these differences to the low credibility of electoral promises in new democracies. We study a model of electoral competition where candidates have two costly means to make themselves credible: spending resources to communicate directly with voters and exploiting preexisting patron-client networks. The costs of building credibility are endogenous and lead to higher targeted transfers and corruption and lower public good provision. The analysis demonstrates that in low-credibility states, political appeals to patron-client networks may be welfare enhancing, but in the long run, they delay political development by discouraging direct appeals to voters that are essential for credible mass-based political parties. The model explains why public investment and corruption are higher in younger democracies and why democratizing reforms had greater success in Victorian England than in the Dominican Republic. (JEL D720, H110, H300, H400, H500, O100)

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 · 10.1093/jleo/ewm054

Cites

34 of 34 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 34 references

Cited by

See all 457

Metadata

Authors
Keefer, P., & Vlaicu, R.
Venue
Journal of Law, Economics, and Organization
Published
2007-11-29
Volume
24
Issue
2
Pages
371-406
ISSN
  • 1465-7341 (ISSN-L)
  • 8756-6222
OpenAlex
W1968837394
Cited by
457
References
34
FWCI
56.45
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: Democracy, Credibility, and Clientelism. https://app.cochat.ai/papers/10.1093/jleo/ewm054
The paper
Keefer, P., & Vlaicu, R. (2007). Democracy, Credibility, and Clientelism. Journal of Law, Economics, and Organization. https://doi.org/10.1093/jleo/ewm054

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.