| dc.contributor.author | Fellman, Johan | |
| dc.date.accessioned | 2018-07-11T07:14:31Z | |
| dc.date.available | 2018-07-11T07:14:31Z | |
| dc.date.issued | 2018-02 | |
| dc.identifier.citation | Theoretical Economics Letters, 2018, 8, 557-574 | en_US |
| dc.identifier.issn | 2162-2086 | |
| dc.identifier.uri | https://doi.org/10.4236/tel.2018.83039 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/1785 | |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Scientific Research | en_US |
| dc.subject | Lorenz Curve | en_US |
| dc.subject | Gini Index | en_US |
| dc.subject | Pietra Index | en_US |
| dc.subject | Pareto Distribution | en_US |
| dc.subject | Simplified Rao-Tam Distribution | en_US |
| dc.subject | Chotikapanich Distribution | en_US |
| dc.title | Income Inequality Measures | en_US |
| dc.type | Article | en_US |
