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Analysis of school failure based on Portuguese micro data

Author

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  • A. Bastos
  • G. Leao Fernandes
  • J. Passos

Abstract

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.

Suggested Citation

  • A. Bastos & G. Leao Fernandes & J. Passos, 2009. "Analysis of school failure based on Portuguese micro data," Applied Economics Letters, Taylor & Francis Journals, vol. 16(16), pages 1639-1643.
    • Handle: RePEc:taf:apeclt:v:16:y:2009:i:16:p:1639-1643
    DOI: 10.1080/13504850701604094
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    Cited by:

    1. John J. McCreary & Julianne M. Edwards & Gregory J. Marchant, 2015. "Inequality, SES, economic indicators, and student achievement," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 9(1), pages 58-65, June.
    2. Amélia Bastos & Carla Machado & José Passos, 2010. "The profile of income‐poor children," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 37(12), pages 933-950, October.
    3. Amélia Bastos & Carla Machado, 2009. "Child poverty: a multidimensional measurement," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(3), pages 237-251, February.

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