2012
DOI: 10.1590/s0100-15742012000300010
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Pobreza e municipalização da educação: análise dos resultados do IDEB (2005-2009)

Abstract: O artigo apresenta resultados de pesquisa empírica que buscou verificar o impacto da pobreza sobre o Índice de Desenvolvimento da Educação Básica em escolas de ensino fundamental em mais de 5.500 municípios brasileiros, comparando o desempenho de escolas estaduais e municipais. Foram analisados os dados de 2005, 2007 e 2009 por meio de regressões lineares simples, resíduos de regressões e de correlações parciais. Os resultados mostram que a pobreza tem um forte impacto no desempenho escolar, chegando a explica… Show more

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Cited by 11 publications
(4 citation statements)
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“…For the statistical analysis, the R software, version 3.2.2 was used, along with SPARQL R 13 and Hmisc packages, which can, respectively, fetch and import the data from the endpoint and calculate the correlation matrix and its statistical significance. Figure 3 depicts the R script and the query used to generate the analysis data.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For the statistical analysis, the R software, version 3.2.2 was used, along with SPARQL R 13 and Hmisc packages, which can, respectively, fetch and import the data from the endpoint and calculate the correlation matrix and its statistical significance. Figure 3 depicts the R script and the query used to generate the analysis data.…”
Section: Methodsmentioning
confidence: 99%
“…They also observe that the "quality of education cannot be analyzed disregarding school and student context". In [13] it was studied the IDEB in function of the percentage of inhabitants which live with income lower than half minimum wage and observed a strong influence in its result, particularly at municipal level. A similar research analyzed the IDEB scores in function of: percentage of families served by the Bolsa Família 5 program, cost per student, population and region, both at school and at municipal level and observed a significant effect for all independent variables, showing that the presence of students in poverty conditions has substantial negative effect in the school IDEB [14].…”
Section: Related Workmentioning
confidence: 99%
“…Andrews e Vries (2012) estudaram 5.500 municípios brasileiros, onde a pobreza foi a variável explicativa da defasagem e a evasão com uma amplitude que esclarece 60% da variação. A tese de que a pobreza só pode ser superada por meio da educação escolar (Easterlin, 1981;Hanushek, 1995) é relativizada pelas evidências de que não é possível melhorar a educação sem a superação da pobreza (Andrews;Vries, 2012). É nesse contexto que se afirma Entre o Trabalho e a Escola que as desigualdades econômicas delimitam horizontes possíveis de ação dos jovens em suas relações com a escola e o mundo do trabalho (Sposito, 2005).…”
Section: Jovens Fora De Série: Uma Pesquisa Sobre Escolarização E Cur...unclassified
“…Andrews and Vries (2012) studied 5,500 Brazilian municipalities, where poverty was the explanatory variable of the lag and drop-out with an amplitude that clarifies 60% of the variation. The thesis that poverty can only be overcome through school education (Easterlin, 1981;Hanushek, 1995) is relativized by the evidence that it is not possible to improve education without overcoming poverty (Andrews;Vries, 2012, p. 844). It is in this context that it is stated that economic inequalities delimit possible horizons of action of the youth in their relationships with school and the world of work (Sposito, 2005).…”
Section: Held Back Youngsters: a Research On Schooling And Life Coursesmentioning
confidence: 99%