Performance and decisions: immigrant--native gaps in educational transitions in Italy
Dalit Contini and
Davide Azzolini ()
Journal of Applied Statistics, 2016, vol. 43, issue 1, 98-114
Following the seminal work of Boudon , sociological research has conceptualized immigrant--native gaps in educational transitions as deriving from children of immigrants' poorer academic performance (primary effects) and from different decision models existing between native and immigrant families (secondary effects). The limited evidence on immigrant--native gaps in Europe indicates that secondary effects are generally positive: children of immigrants tend to make more ambitious educational choices than natives with the same prior performance. In this paper we review the different decomposition methods employed so far in the literature to tackle similar research questions, and extend the existing methodology to allow including interaction effects and taking explanatory variables under control. We apply this method to data coming from a unique Italian administrative data set. We find that children of immigrants exhibit higher likelihood to opt for vocational training over more generalist and academic programs, even when controlling for socio-economic background. A large share of the immigrant--native differentials in the probability to attend the different school programs is explained by the different prior performance distribution. However, decision models differ between groups, and, contrary to the evidence on other countries, these differences contribute to widening the existing gaps. If children of immigrants had the same social background and prior performance of their native peers, they still would be more likely to enroll in shorter and less-demanding school programs. Interestingly, these results hold true only for boys, while we find no evidence of decision effects for girls.
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
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: https://EconPapers.repec.org/RePEc:taf:japsta:v:43:y:2016:i:1:p:98-114
Ordering information: This journal article can be ordered from
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Series data maintained by Chris Longhurst ().