A Hierarchical Dynamic Beta Regression Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools
Alexandra M. Schmidt, Caroline P. de Moraes, Helio S. Migon

TL;DR
This paper introduces a hierarchical dynamic beta regression model to analyze the performance of Brazilian public schools in the OBMEP from 2006 to 2013, accounting for covariates and temporal evolution.
Contribution
It develops a novel hierarchical dynamic beta regression approach to model school performance over time with covariates, capturing evolving effects and hierarchical structure.
Findings
Federal schools outperform municipal and state schools.
School performance increases with municipal HDI.
Higher proportion of boys correlates with better performance in higher levels.
Abstract
The Brazilian Mathematical Olympiads for Public Schools (OBMEP) is held every year since 2005. In the 2013 edition there were over 47,000 schools registered involving nearly 19.2 million students. The Brazilian public educational system is structured into three administrative levels: federal, state and municipal. Students participating in the OBMEP come from three educational levels, two in primary and one in secondary school. We aim at studying the performance of Brazilian public schools which have been taking part of the OBMEP from 2006 until 2013. We propose a standardization of the mean scores of schools per year and educational level which is modeled through a hierarchical dynamic beta regression model. Both the mean and precision of the beta distribution are modeled as a function of covariates whose effects evolve smoothly with time. Results show that, regardless of the…
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Taxonomy
TopicsStatistical Methods and Applications
