Saved in:
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2025
|
| Series: | Cambridge elements. Elements in econophysics
|
| Links: | https://doi.org/10.1017/9781009446341 |
| Summary: | This Element presents the κ-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiveness with other parametric models. It also presents formulas for calculating inequality indices within the κ-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions. |
| Physical Description: | 1 Online-Ressource (62 Seiten) |
| ISBN: | 9781009446341 |
| ISSN: | 2754-6071 |
Staff View
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| id | ZDB-20-CTM-CR9781009446341 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-15T09:21:29Z |
| institution | BVB |
| isbn | 9781009446341 |
| issn | 2754-6071 |
| language | English |
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| spelling | Clementi, Fabio 1977- The κ-statistics approach to income distribution analysis Fabio Clementi [and four others] Cambridge Cambridge University Press 2025 1 Online-Ressource (62 Seiten) txt c cr Cambridge elements. Elements in econophysics 2754-6071 This Element presents the κ-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiveness with other parametric models. It also presents formulas for calculating inequality indices within the κ-generalized framework, including the widely used Gini coefficient and the relatively lesser-known Zanardi index of Lorenz curve asymmetry. Through empirical illustrations, the Element criticizes the conventional application of the Gini index, pointing out its inadequacy in capturing the full spectrum of inequality characteristics. Instead, it advocates the adoption of the Zanardi index, accentuating its ability to capture the inherent heterogeneity and asymmetry in income distributions. Erscheint auch als Druck-Ausgabe 9781009446358 |
| spellingShingle | Clementi, Fabio 1977- The κ-statistics approach to income distribution analysis |
| title | The κ-statistics approach to income distribution analysis |
| title_auth | The κ-statistics approach to income distribution analysis |
| title_exact_search | The κ-statistics approach to income distribution analysis |
| title_full | The κ-statistics approach to income distribution analysis Fabio Clementi [and four others] |
| title_fullStr | The κ-statistics approach to income distribution analysis Fabio Clementi [and four others] |
| title_full_unstemmed | The κ-statistics approach to income distribution analysis Fabio Clementi [and four others] |
| title_short | The κ-statistics approach to income distribution analysis |
| title_sort | κ statistics approach to income distribution analysis |
| work_keys_str_mv | AT clementifabio thekstatisticsapproachtoincomedistributionanalysis AT clementifabio kstatisticsapproachtoincomedistributionanalysis |