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

Author

Listed:
  • Blaise Gnimassoun

    (BETA - Bureau d'Économie Théorique et Appliquée - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Joseph Keneck Massil

    (Cemotev - Centre d'études sur la mondialisation, les conflits, les territoires et les vulnérabilités - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines)

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.

Suggested Citation

  • Blaise Gnimassoun & Joseph Keneck Massil, 2019. "Determinants of corruption: can we put all countries in the same basket?," Post-Print hal-02509820, HAL.
  • Handle: RePEc:hal:journl:hal-02509820
    DOI: 10.25428/1824-2979/201902-239-276
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-02509820
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    References listed on IDEAS

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    More about this item

    Keywords

    Corruption; Political economy; Public economics; Bayesian model averaging; Cross- sectional models;
    All these keywords.

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