We examine the foundations of corruption perception at the micro-level. Using micro and macro data, we focus on the incidence of personal characteristics and country effects. We extend previous researches by estimating sub-models taking into account differences in the countries of residence. Our database comes from the 2004 International Social Survey Program survey that includes more than 35 countries. Ordered probit models were estimated in order to study the impact of independent variables on the perceived level of corruption. This article argues that there are socio-demographic variables that play a relevant role in determining corruption perception (such as: gender, education, etc.). We find that country of residence matters and the model shows some relevant patters of behavior. Finally, we find a strong relationship between our ranking of countries and the Corruption Perception Index computed by Transparency International.
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