Abstract
This paper overviews the well-known inequality measures and applies information-theoretic tools to compare inequality between income levels among nations. Specifically, we use the World Values Survey data on households’ income levels in 57 countries to rank inequality. We then examine the effects of macroeconomic outcomes on inequality. Our findings suggest that the Gini coefficient with (Formula presented.) -divergence provides further insight into inequality rankings. In addition, the results indicate that higher inflation and GDP growth lead to lower inequality. Finally, we find a positive relationship between income inequality and money growth.
Original language | American English |
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Pages (from-to) | 3051-3060 |
Number of pages | 10 |
Journal | Applied Economics Letters |
Volume | 30 |
Issue number | 21 |
DOIs | |
State | Published - Aug 31 2022 |
Keywords
- Gini index
- Information-Theoretic measures
- income inequality