Revisiting poverty measures using quantile functions
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866909571392471040 |
|---|---|
| author | Nair, N. Unnikrishnan Sunoj, S. M. |
| author_facet | Nair, N. Unnikrishnan Sunoj, S. M. |
| contents | In this article we redefine various poverty measures in literature in terms of quantile functions instead of distribution functions in the prevailing approach. This enables provision for alternative methodology for poverty measurement and analysis along with some new results that are difficult to obtain in the existing framework. Several flexible quantile function models that can enrich the existing ones are proposed and their utility is demonstrated for real data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_05713 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Revisiting poverty measures using quantile functions Nair, N. Unnikrishnan Sunoj, S. M. Statistics Theory In this article we redefine various poverty measures in literature in terms of quantile functions instead of distribution functions in the prevailing approach. This enables provision for alternative methodology for poverty measurement and analysis along with some new results that are difficult to obtain in the existing framework. Several flexible quantile function models that can enrich the existing ones are proposed and their utility is demonstrated for real data. |
| title | Revisiting poverty measures using quantile functions |
| topic | Statistics Theory |
| url | https://arxiv.org/abs/2504.05713 |