Abstract
Income distributions are commonly unimodal and skew with a heavy right tail. Different skew models, such as the lognormal and the Pareto, have been proposed as suitable descriptions of income distribution and applied in specific empirical situations. More wide-ranging tools have been introduced as measures for general comparisons. In this study, we review the income analysis methods and apply them to specific Lorenz models.
| Original language | English |
|---|---|
| Peer-reviewed scientific journal | Theoretical Economics Letters |
| Volume | 8 |
| Issue number | 03 |
| Pages (from-to) | 557-574 |
| Number of pages | 18 |
| ISSN | 2162-2078 |
| DOIs | |
| Publication status | Published - 14.02.2018 |
| MoE publication type | A1 Journal article - refereed |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 10 Reduced Inequalities
Keywords
- 112 Statistics and probability
- Lorenz Curve
- Gini Index
- Pietra Index
- Pareto Distribution
- Simplified Rao-Tam Distribution
- Chotikapanich Distribution
Fingerprint
Dive into the research topics of 'Income Inequality Measures'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver