Exploring the urban-rural labor income gap in Uruguay: a quantile regression decomposition
This paper analyzes the differences in real hourly labor income (RHLI) distributions between urban and rural workers for Uruguay in 2006. A quantile regression decomposition technique is applied in order to examine the urban-rural gap across the entire RHLI distribution. The urban-rural gap was prim...
Guardado en:
| Autores principales: | , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/108436 https://www.rae-ear.org/index.php/rae/article/view/327 |
| Aporte de: |
| Sumario: | This paper analyzes the differences in real hourly labor income (RHLI) distributions between urban and rural workers for Uruguay in 2006. A quantile regression decomposition technique is applied in order to examine the urban-rural gap across the entire RHLI distribution. The urban-rural gap was primarily explained by the differences in the distribution of covariates along the entire distribution. Differences in distribution of returns favored the rural workers in most of the RHLI distribution although its contribution decreased across quantiles. The resulting gap in returns was most relevant for the worst off rural workers compared to the urban counterparts in both Montevideo and the rest of the urban centers. |
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