Analysis of school failure based on Portuguese micro data
Amélia Bastos (),
G. Leao Fernandes and
Applied Economics Letters, 2009, vol. 16, issue 16, 1639-1643
In this article we investigate the main causes of school failure in the primary public schools in Lisbon. Poisson count-data models are used to analyse the relationship between the number of failures and a wide set of explanatory variables. However heterogeneity due to unobserved differences in intellectual abilities of the students is of primary concern. Neglecting it causes biased estimates and therefore a proper method is required to accommodate it. In this article we suggest a finite mixture of Poisson's. We found that variables associated to gender, ethnicity, family dimension, parent's level of education and income poverty are the most important observable determinants of school failure.
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