Analysis of school failure based on Portuguese micro data
Amélia Bastos (),
G. Leao Fernandes and
Applied Economics Letters, 2009, vol. 16, issue 16, pages 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.
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (text/html)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:taf:apeclt:v:16:y:2009:i:16:p:1639-1643
Ordering information: This journal article can be ordered from
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Series data maintained by Michael McNulty ().