Revisiting the impact of corruption on income inequality worldwide


Date

2025-02

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

The relationship between corruption and income inequality has been widely studied, but there is no consensus on whether corruption increases or reduces inequality. We conduct an extreme bounds analysis (EBA) to test the robustness of the explanatory variables proposed in the literature. Using a sample of up to 150 countries, with data mostly going back to 1980, we find that corruption does not appear to have a clear positive effect on inequality or may even reduce it. Also, contrary to what is sometimes suggested in the literature, the results do not support an inverted U-shaped effect of corruption on income distribution. A more important role in explaining income distribution seems to be played by the level of financial development, the old-age dependency ratio, the unemployment rate, the capital stock to GDP ratio and the population growth rate. These are often found to be significant drivers of inequality, regardless of the set of control variables and the definition of corruption used.

Publication status

published

Editor

Book title

Journal / series

Volume

78 (1)

Pages / Article No.

206 - 242

Publisher

Wiley-Blackwell

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

03716 - Sturm, Jan-Egbert / Sturm, Jan-Egbert check_circle
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute check_circle

Notes

Funding

Related publications and datasets