EconPapers    
Economics at your fingertips  
 

The relative and absolute risks of disadvantaged family background and low levels of school resources on student literacy

Yuko Nonoyama-Tarumi and J. Douglas Willms

Economics of Education Review, 2010, vol. 29, issue 2, 214-224

Abstract: There has been a long-lasting debate of whether the effects of family background are larger than those of school resources, and whether these effects are a function of national income level. In this study, we bring a new perspective to the debate by using the concepts of relative risk and population attributable risk in estimating family and school effects. The study uses data from the Programme of International Student Assessment (PISA), a large international comparative study of the skills of 15-year-old students in 43 countries. The study finds that: (1) there is a curvilinear association between family effects, measured by both relative and attributable risk, and national income level; (2) there is no association between school effects and national income level; (3) the risk associated with low levels of family background is larger than that of low levels of school resources, regardless of national income level.

Keywords: Family; background; School; resources (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0272-7757(09)00076-4
Full text for ScienceDirect subscribers only

Related works:
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:eee:ecoedu:v:29:y:2010:i:2:p:214-224

Access Statistics for this article

Economics of Education Review is currently edited by E. Cohn

More articles in Economics of Education Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecoedu:v:29:y:2010:i:2:p:214-224