A Distributional Analysis of Upper Secondary School Performance

John Cullinan, Kevin Denny and Darragh Flannery
Additional contact information
John Cullinan: National University of Ireland, Galway

No 201808, Working Papers from Geary Institute, University College Dublin

Abstract: We examine the relationship between the distribution of upper secondary school performance and a range of individual and school level characteristics using unconditional quantile regression methods and data from Ireland. We find that determinants such as social class, maternal unemployment, extra private tuition, and working part-time have differential effects for low and high ability students and that important insights are lost by focusing on the conditional mean. The implication is that while certain factors can impact on whether or not a student is likely to proceed to higher education, other factors may affect where students go and what they study.

Keywords: Secondary school performance; Distribution; Unconditional quantile regression; Ireland (search for similar items in EconPapers)
JEL-codes: I20 I21 J00 J01 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2018-12-04
New Economics Papers: this item is included in nep-edu and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201808.pdf First version, 2018 (application/pdf)

Related works:
Journal Article: A distributional analysis of upper secondary school performance (2021)
Working Paper: A Distributional Analysis of Upper Secondary School Performance (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ucd:wpaper:201808

Access Statistics for this paper

More papers in Working Papers from Geary Institute, University College Dublin Contact information at EDIRC.
Bibliographic data for series maintained by Geary Tech ().