Perception vs. Experience: Explaining Differences in Corruption Measures Using Microdata
Jerg Gutmann (),
Fabio Padovano () and
Stefan Voigt ()
No 8027, CESifo Working Paper Series from CESifo
Understanding corruption is at the heart of treating the dysfunctionality of many countries’ public sectors. Yet, most corruption research suffers from one common problem: There is no “objective” measure of public-sector corruption for a cross-section of countries. Most studies on the determinants or the effects of corruption rely on indicators of corruption perception. In recent years, a second type of indicator reflecting stated experiences 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. In fact, they are not. This paper deals with the divergence between these two types of corruption indicators. We examine 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 after these results.
Keywords: corruption experience; corruption measurement; corruption perception; governance indicators; institutional quality; subjective indicators (search for similar items in EconPapers)
JEL-codes: D73 C80 K42 O17 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-law
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Working Paper: Perception vs. Experience: Explaining Differences in Corruption Measures Using Microdata (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_8027
Access Statistics for this paper
More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().