A Multinomial Asymptotic Representation of Zenga's Discrete Index, Its Influence Function and Data-Driven Applications
* In this paper, we consider the Zenga index, one of the most recent inequality indices. We keep the finite-valued original form and address the asymptotic theory. The asymptotic normality is established through a multinomial representation. The influence function is also given. The results are simu...
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| Published in | Revstat Vol. 23; no. 2; p. 189 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Instituto Nacional de Estatistica
01.04.2025
Instituto Nacional de Estatística | Statistics Portugal |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1645-6726 2183-0371 |
| DOI | 10.57805/revstat.v23i2.523 |
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| Summary: | * In this paper, we consider the Zenga index, one of the most recent inequality indices. We keep the finite-valued original form and address the asymptotic theory. The asymptotic normality is established through a multinomial representation. The influence function is also given. The results are simulated and applied to Senegalese income data. Keywords: * inequality measures; asymptotic behaviour; asymptotic representations; functional empirical process. AMS Subject Classification: * 62G05, 62G20, 62G07, 91B82, 62P20. |
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| ISSN: | 1645-6726 2183-0371 |
| DOI: | 10.57805/revstat.v23i2.523 |