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Perception vs. experience: Explaining differences in corruption measures using microdata

Author

Listed:
  • Jerg Gutmann

    (UHH - Universität Hamburg = University of Hamburg)

  • Fabio Padovano

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Stefan Voigt

    (UHH - Universität Hamburg = University of Hamburg)

Abstract

Most corruption research suffers from one common problem: There is no objective measure of public-sector corruption for a cross-section of countries. Studies on the determinants or the effects of corruption typically rely on indicators of corruption perception. In recent years, a second type of indicator reflecting experience with bribery has become available. If corruption perception is primarily informed by experience with corruption, these two types of indicators should be very highly correlated, which they are not. This study examines the variation in individual corruption perception that cannot be explained by individual corruption experience alone. We find that both respondent characteristics and country characteristics affect corruption perception beyond what can be explained by individuals' first-hand experience of corruption. Some of these biases may force us to reevaluate results of corruption research that is based on perception data, as well as the anti-corruption policies designed in response to these results.

Suggested Citation

  • Jerg Gutmann & Fabio Padovano & Stefan Voigt, 2020. "Perception vs. experience: Explaining differences in corruption measures using microdata," Post-Print hal-02960969, HAL.
  • Handle: RePEc:hal:journl:hal-02960969
    DOI: 10.1016/j.ejpoleco.2020.101925
    Note: View the original document on HAL open archive server: https://hal.science/hal-02960969v1
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    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

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