Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 577

The DOI matches its Crossref record.

Governance Indicators: Where Are We, Where Should We Be Going?

Open access
Kaufmann, D., Kraay, A.·2007·The World Bank Research Observer

Abstract

Progress in measuring governance is assessed using a simple framework that distinguishes between indicators that measure formal rules and indicators that measure the practical application or outcomes of these rules.The analysis calls attention to the strengths and weaknesses of both types of indicators as well as the complementarities between them.It distinguishes between the views of experts and the results of surveys and assesses the merits of aggregate as opposed to individual governance indicators.Some simple principles are identified to guide the use and refinement of existing governance indicators and the development of future indicators.These include transparently disclosing and accounting for the margins of error in all indicators, drawing from a diversity of indicators and exploiting complementarities among them, submitting all indicators to rigorous public and academic scrutiny, and being realistic in expectations of future indicators.JEL codes: H1, O17 Not everything that can be counted counts, and not everything that counts can be counted. -Albert EinsteinMost scholars, policymakers, aid donors, and aid recipients recognize that good governance is a fundamental ingredient of sustained economic development.This growing understanding, initially informed by a very limited set of empirical measures of governance, has spurred intense interest in developing more refined, nuanced, and policy-relevant indicators of governance.This article reviews progress in measuring governance, emphasizing empirical measures explicitly designed to be comparable across countries and in most cases over time.The goal is to provide a structure for thinking about the strengths and weaknesses of different types of governance indicators that can inform both the use of existing indicators and ongoing efforts to improve them and develop new ones. 1 The first section of this article reviews definitions of governance.Although there are many broad definitions of governance, the degree of definitional disagreement

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/wbro/lkm012

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.

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.

Metadata

Authors
Kaufmann, D., & Kraay, A.
Venue
The World Bank Research Observer
Published
2007-10-04
Volume
23
Issue
1
Pages
1-30
ISSN
  • 0257-3032 (ISSN-L)
  • 1564-6971
OpenAlex
W1549710779
Cited by
577
References
0
FWCI
67.74
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

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.