Pobreza e diversidades regionais: uma investigação empírica para o Brasil, 2010
The article studies relative household poverty in Brazilian municipalities of different socio-economic backgrounds. The study aims at understanding the role of regional disparities on poverty. The regional variables of interest are municipalities, while poverty is defined as households with per capi...
| Autor: | |
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| Formato: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | Brasil |
| Recursos: | Universidade Federal de Minas Gerais (UFMG) |
| Repositorio: | Repositório Institucional da UFMG |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufmg.br:1843/AMSA-97ZQAR |
| Acesso em linha: | http://hdl.handle.net/1843/AMSA-97ZQAR |
| Access Level: | acceso abierto |
| Palavra-chave: | Economia regional Microeconometria Pobreza Microeconomia |
| Resumo: | The article studies relative household poverty in Brazilian municipalities of different socio-economic backgrounds. The study aims at understanding the role of regional disparities on poverty. The regional variables of interest are municipalities, while poverty is defined as households with per capita incomes below the 2nd decile of income distribution, which corresponds to R$ 195 (Brazilian reais), or 97 US$. The data is extracted from the Brazilian Census (IBGE 2010), The Brazilian Statistics of the Civil Registry (IBGE 2010) and from the study Regions of Influence of Cities (IBGE 2007). We use different methodologies as to ensure robustness of results. Firstly, we explore the data via descriptive analysis. We follow by using Ordinary Least Squares (OLS) with variance correction for the clusters and models of quantile regression. Lastly, we undertake variance analysis (ANOVA) and estimated hierarchical models. The methodology described above was usedwith two different specifications: with and without regional variables. The methodology was applied to subdivisions of income, the 20% poorest, the 20% richest and those between the 4th and the 6th decile of income. This enables comparative analysis between the tendencies of households defined as poor, those with per capita incomes close to the median, and those in the top two deciles of the national income distribution. The results show that the most deprived households are those headed by women, the relatively young, those classified as black or mixed race, single headed households, those with the lowest level of education, the unemployed, those relative large household size and those in rural areas. The relationship between income and regional characteristics was extremely relevant, with approximately 35% of variance of per capita income explained by inter-municipal differences. In the analysis of regional characteristics, we show that income has a strong positive correlation with the following municipal variables: percentage of inhabitants above 24 years of age with higher education, unemployment rate, percentage of informal workers, level of centrality and income inequality. |
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