The DOI matches its Crossref record.
Measuring Corruption: A Critique of Indicators in Eastern Europe and Central Asia
Abstract
Concern about corruption has stimulated the creation of a multiplicity of indicators by a multiplicity of methods by the World Bank, World Economic Forum, Transparency International and commercial rating agencies. However, the construction of indices varies, raising substantive and methodological issues, which are reviewed with particular reference to post-Communist transition societies in Eastern Europe and Central Asia. This paper systematically examines indicators, starting with the definitional distinction between measures of administrative corruption as distinct from state capture. It pays particular attention to problems arising from the aggregation of indicators from multiple sources, and the extent to which the changing composition of cross-country indicators limits trend analysis. It concludes that many of the problems of aggregation may be avoided by using single source and single dimension indexes.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Government Spending, Corruption and Economic Growth
d’Agostino, G., Dunne, J. P., & Pieroni, L. (2016) · World Development · doi:10.1016/j.worlddev.2016.03.011 · Cited by 373
What Do Corruption Indices Measure?
Donchev, D., & Ujhelyi, G. (2014) · Economics & Politics · doi:10.1111/ecpo.12037 · Cited by 303
Jiménez, A., Hanoteau, J., & Barkemeyer, R. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.05.070 · Cited by 57
Lustration Matters: a Radical approach to the Problem of Corruption
Rožič, P., & Nisnevich, Y. A. (2016) · Studies in Comparative International Development · doi:10.1007/s12116-015-9179-1 · Cited by 23
The politics of survival or business as usual? Exploring the effects of armed conflict on corruption
Lohaus, M., & Bussmann, M. (2021) · Journal of International Relations and Development · doi:10.1057/s41268-020-00186-9 · Cited by 6
Metadata
- Authors
- KNACK, S.
- Venue
- Journal of Public Policy
- Publisher
- Cambridge University Press (CUP)
- Published
- 2007-12
- Volume
- 27
- Issue
- 3
- Pages
- 255-291
- ISSN
- 0143-814X (ISSN-L)
- 1469-7815
- OpenAlex
- W2041749541
- Cited by
- 185
- References
- 0
- FWCI
- 16.93
- 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: Measuring Corruption: A Critique of Indicators in Eastern Europe and Central Asia. https://app.cochat.ai/papers/10.1017/s0143814x07000748
- The paper
- KNACK, S. (2007). Measuring Corruption: A Critique of Indicators in Eastern Europe and Central Asia. Journal of Public Policy. https://doi.org/10.1017/s0143814x07000748
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.