Técnicas para datos multinivel: Aplicación a los determinantes del rendimiento educativo
[Techniques for multilevel data: Application to the determinants of educational performance]
This 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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- repec:fth:prinin:379 is not listed on IDEAS
- Alejandra Mizala & Pilar Romaguera, 2000. "Determinación de factores explicativos de los resultados escolares en educación media en Chile," Documentos de Trabajo 85, Centro de Economía Aplicada, Universidad de Chile.
- Alejandra Mizala & Pilar Romaguera & Teresa Reinaga, 1999. "Factores que inciden en el rendimiento escolar en Bolivia," Documentos de Trabajo 61, Centro de Economía Aplicada, Universidad de Chile.
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