Técnicas para datos multinivel: Aplicación a los determinantes del rendimiento educativo

Techniques for multilevel data: Application to the determinants of educational performance

Marcos Herrera Gómez, María Aráoz, Gisela de Lafuente, Lucrecia D'jorge, María Granado, Andres Michel () and Corina Paz Teran ()
Authors registered in the RePEc Author Service: Marcos Herrera Gómez

MPRA Paper from University Library of Munich, Germany

Abstract: 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.

Keywords: Análisis Multinivel; GEE; Rendimiento Educativo (search for similar items in EconPapers)
JEL-codes: C31 C40 I21 (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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