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 |