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Measuring corruption: perception surveys or victimization surveys?

Author

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  • Thomas Roca

    () (Larefi - Laboratoire d'analyse et de recherche en économie et finance internationales - Université Montesquieu - Bordeaux 4)

Abstract

While methodologies and survey techniques recorded progress over the years, corruption measurement remains a many-headed monster. Since 2003 and the first publication of Transparency International's Global Corruption Barometer, researchers have access to population's feeling about the corruption scourge across institutions. Thereby, wider room emerged for populations' perceptions in the field of corruption quantification. In this paper, we analyze the gulf separating perceived corruption from experienced bribe situations using global household surveys in a Panel dataset. We show that the gap between these two types of data can be wide and unevenly distributed across countries. Introducing further objective and subjective data we try to puzzle out perception mechanisms.

Suggested Citation

  • Thomas Roca, 2011. "Measuring corruption: perception surveys or victimization surveys?," Working Papers hal-00625179, HAL.
  • Handle: RePEc:hal:wpaper:hal-00625179 Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00625179
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    References listed on IDEAS

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    1. Montinola, Gabriella R. & Jackman, Robert W., 2002. "Sources of Corruption: A Cross-Country Study," British Journal of Political Science, Cambridge University Press, vol. 32(01), pages 147-170, January.
    2. Naci Mocan, 2008. "What Determines Corruption? International Evidence From Microdata," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 493-510, October.
    3. Reinikka, Ritva & Svensson, Jakob, 2006. "Using Micro-Surveys to Measure and Explain Corruption," World Development, Elsevier, vol. 34(2), pages 359-370, February.
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    Cited by:

    1. Standaert, Samuel, 2015. "Divining the level of corruption: A Bayesian state-space approach," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 782-803.

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