La educación secundaria y sus dos dimensiones. Efectos del barrio y del colegio sobre los resultados saber 11

Q4 Economics, Econometrics and Finance
Jacobo Rozo Alzate
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引用次数: 6

Abstract

This paper studies the mathematics and language results of 32,000 students on the Saber 11 test for 2008 in the city of Bogota D.C. This analysis considers that individuals are contained in neighborhoods and schools, but not all individuals from the same neighborhood attend the same school, and vice versa. With the purpose of creating a proper model for this data structure various econometric models were used, including a crossed random effect multilevel hierarchical regression. The central objective is to identify the extent to which neighborhood and schooling conditions are correlated with the educational results of the objective population, and which neighborhood and school features are more strongly associated to this test’s results. We used data from the Saber 11 test, the C-600 school census, the 2005 population census and the Bogota D.C. metropolitan police department. Our estimations show that both neighborhoods and schools correlate with this test’s results; but the school seems to be a much stronger factor than the neighborhood. School features that have the strongest correlation with these test’s results are the teacher’s education, the school day’s schedule, schooling expenses and the school’s socioeconomic context. Neighborhoods features that are mostly associated with these test’s results are the presence of university students within the upz, a cluster of higher educational levels as well as the crime rate within the neighborhood, which correlates negatively. Previous results were found taking in account family and personal controls.
中等教育及其两个维度。社区和学校对学习成绩的影响
本文研究了2008年波哥大市32,000名学生在Saber 11测试中的数学和语言成绩。该分析认为个体包含在社区和学校中,但并非所有来自同一社区的个体都上同一所学校,反之亦然。为了为这种数据结构创建合适的模型,使用了各种计量经济模型,包括交叉随机效应多层层次回归。中心目标是确定社区和学校条件与目标人群的教育结果相关的程度,以及哪些社区和学校特征与该测试结果的相关性更强。我们使用了来自Saber 11测试、C-600学校人口普查、2005年人口普查和波哥大特区大都会警察局的数据。我们的估计表明,社区和学校都与测试结果相关;但学校似乎是一个比社区更强大的因素。与这些测试结果相关性最强的学校特征是教师的教育程度、上课时间安排、学费和学校的社会经济背景。与这些测试结果最相关的社区特征是upz内大学生的存在,这是一个高等教育水平的集群,以及社区内的犯罪率,这两者呈负相关。之前的研究结果考虑了家庭和个人因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Revista de Economia del Rosario
Revista de Economia del Rosario Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.60
自引率
0.00%
发文量
3
审稿时长
12 weeks
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