Jack-of-all-subjects? The association between individual grade variance and educational attainment
Astrid Marie Sandsør
Economics of Education Review, 2020, vol. 75, issue C
Abstract:
This paper uses detailed register information on students in lower secondary school in Norway to study the importance of the second moment of individual grade distribution: grade variance. Students receive discrete-value grades from 1 to 6 in the same 13 subjects, and the grade point average (GPA) is used to determine entrance into upper secondary school. This leads to a limited number of possible GPA values and the within-GPA-value variation in grades is used to investigate the association between grade variance and educational attainment. Grade variance is found to be negatively associated with educational attainment across the grade distribution and for both genders. US data confirm this finding. Results suggests that being a generalist with similar skills across subjects predicts educational attainment and that educational institutions may benefit from considering more than just grade point average when making admission decisions.
Keywords: Grades; Cognitive skills; Non-cognitive skills; Human capital (search for similar items in EconPapers)
JEL-codes: I21 J24 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0272775719301281
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:75:y:2020:i:c:s0272775719301281
DOI: 10.1016/j.econedurev.2020.101969
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 ().