20 years

EJCE Year: 2019, December. Volume: 16 - Issue: 2

Determinants of corruption: can we put all countries in the same basket?

by Blaise Gnimassoun, Joseph Keneck Massil

Start page: 239 - End page: 276

Keywords: Corruption, Political economy, Public economics, Bayesian model averaging, Cross-sectional models

Jel code: C11; C31; D73; P16; P35

DOI: 10.25428/1824-2979/201902-239-276

Abstract:

This paper aims to study the determinants of corruption by examining specificities relating to the region and the level of economic development. Starting from a cross-sectional study on 130 countries, we rely on the Bayesian Model Averaging (BMA) approach to address the issue of model uncertainty and identify the key determinants of corruption according to the level of development and the region. Our results highlight the need for specific remedies in the fight against corruption given the regional, sociocultural, economic and institutional specificities. Indeed, the key determinants of corruption in sub-Saharan Africa are not the most relevant in the East Asia and Pacific region. Similarly, the most important determinants in developed countries are not the most worrying in developing countries.

View this article (PDF)

In case of problems please write an e-mail to secretariat.ejce@liuc.it

Publisher perpetually authorizes participants in the LOCKSS system to archive and restore EJCE articles through the LOCKSS System for the benefit of all LOCKSS System participants. EJCE is registered as OAI-PMH data provider. OAI - Records check.
EJCE, 2018-    : Registro stampa Trib. Busto Arsizio n. 7/18 del 13.07.2018; Direttore responsabile: Laura Ballestra, Università Carlo Cattaneo - LIUC c.so Matteotti 22 20153 Castellanza VA
EJCE, 2004-2017: Supplemento a LIUC Papers, Registro stampa Trib. Busto Arsizio n. 11/93 del 11.06.1993; Direttore responsabile: Laura Ballestra, Università Carlo Cattaneo - LIUC c.so Matteotti 22 20153 Castellanza VA