Técnicas para datos multinivel: Aplicación a los determinantes del rendimiento educativo
[Techniques for multilevel data: Application to the determinants of educational performance]
AbstractThis paper consists of the application of the Hierarchical lineal model (multilevel methodology) which takes in consideration the interaction between individual and aggregated variables. It is intented to measure eterminants of student performance in their last year of school in three departments of Tucuman’s province (educational census year 2000). Data has multilevel structure indeed students belong to different schools. The GEE method “Generalized Estimated Equation”, suitable for conglomerate data, allows to model correlation between students within the same school. So multilevel modeling strategies are more likely to produce unbiased estimators than Least Squares, which suppose independence between observations.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 38736.
Date of creation: 2005
Date of revision:
Análisis Multinivel; GEE; Rendimiento Educativo;
Find related papers by JEL classification:
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
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