Revisiting fixed- and random-effects models: some considerations for policy-relevant education research
Paul Clarke,
Claire Crawford,
Fiona Steele and
Anna Vignoles
Education Economics, 2015, vol. 23, issue 3, 259-277
Abstract:
The use of fixed (FE) and random effects (RE) in two-level hierarchical linear regression is discussed in the context of education research. We compare the robustness of FE models with the modelling flexibility and potential efficiency of those from RE models. We argue that the two should be seen as complementary approaches. We then compare both modelling approaches in our empirical examples. Results suggest a negative effect of special educational needs (SEN) status on educational attainment, with selection into SEN status largely driven by pupil level rather than school-level factors.
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://hdl.handle.net/10.1080/09645292.2013.855705 (text/html)
Access to full text is restricted to subscribers.
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:taf:edecon:v:23:y:2015:i:3:p:259-277
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CEDE20
DOI: 10.1080/09645292.2013.855705
Access Statistics for this article
Education Economics is currently edited by Caren Wareing and Steve Bradley
More articles in Education Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().