SOCIOECONOMIC DETERMINANTS OF CORRUPTION: CROSS-SECTION DATA ANALYSIS

The purpose of this study is to estimate the determinants of corruption for 142 countries which have attainable data using cross-section data analysis. four different models are used in this study. the first model is designed to include all countries without being subjected to any classification. other models are designed according to the human development index (hdi). human development level of countries is classified as (i) high, (ii) medium, (iii) low. according to the findings, in the first model which covers 142 countries it is estimated that economic freedom, democracy, the ratio of public expenditure to income and per capita income are statistically significant and an increase in these variables has a positive impact on the corruption. even though the ratio of public expenditure to income is statistically significant but an increase in the ratio of public expenditure to income has a negative income on corruption. the models in which country classification is based on the human development level, it is estimated that the determinants of corruption are changeable according to the human development level of countries.