A comparative study of the Gini coefficient estimators based on the linearization and U-statistics Methods
In this paper, we consider two well-known methods for analysis of the Gini index, which are U-statistics and linearization for some incomedistributions. In addition, we evaluate two different methods for some properties of their proposed estimators. Also, we compare two methods with resampling techn...
- Autores:
-
Mirzaei, Shahryar
Mohtashami Borzadaran, Gholam Reza
Amini, Mohammad
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/66495
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66495
http://bdigital.unal.edu.co/67523/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Gini coefficient
Inequality index
U-statistics
Linearization method
Resampling techniques.
Índice Gini
Distribuciones de la renta
Método de linealización
Técnicas de remuestreo
U-statistics
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | In this paper, we consider two well-known methods for analysis of the Gini index, which are U-statistics and linearization for some incomedistributions. In addition, we evaluate two different methods for some properties of their proposed estimators. Also, we compare two methods with resampling techniques in approximating some properties of the Gini index. A simulation study shows that the linearization method performs 'well' compared to the Gini estimator based on U-statistics. A brief study on real data supports our findings. |
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