Determinantes do desempenho educacional dos municípios cearenses em 2019

Abstract

The objective of this study is to identify which variables are capable of influencing the probability of the municipality having a good school performance. To evaluate the school performance of the 184 cities in the State of Ceará in 2019, a binary variable was chosen as the dependent variable, which assumes value 1 when the average between the initial and final years of the Basic Education Development Index (IDEB) is equal or greater than 5 and is zero when it is less than 5. To compose the explanatory variables, data were collected on the age-grade distortion, the class-hours rate, the student failure rate, the school dropout rate, in addition to the Gross Domestic Product (GDP) and FUNDEB transfers, both in per capita terms. The logistic regression model was used because it is the most suitable for analysis of binary variables. The results showed that for this specification of the logit model, the school dropout rate, GDP per capita, and per capita transfers from FUNDEB were significant to explain the probability of municipalities having an average IDEB score greater than 5.