Field Assignment, Field Choice and Preference Matching of Ethiopian High School Students

Derbachew Asfaw () and Zeytu Gashaw
Additional contact information
Derbachew Asfaw: Hawassa University
Zeytu Gashaw: Hawassa University

Annals of Data Science, 2021, vol. 8, issue 2, No 1, 185-204

Abstract: Abstract We examined the determinants of the admittance of students into their top wished-fields of study by university students using data from Ethiopian National Educational Assessment and Examination Agency. It is based on a 2016 cohort of 41,371 applicants in Social Science and 92,135 applicants in Natural Science, who were admitted to public universities in Ethiopia. We use a binary logistic regression model applied to four broadly defined fields in Social Science streaming and found that students’ place of residence, gender, EHEECE admission grade and age of the student have a significant positive impact on the decision process towards admitting students into their top wished-fields. Results also showed that there were significant positive interaction effects of EHEECE admission grade, gender and wished-fields on the decision process. We noticed a fair selection between girls and boys into the field of Law and Theatrical Fine Art and Music. For girls the odds of being admitted into the field of Other Social Science and Humanities were relatively better than the odds of being admitted into Business and Economics. We use a polytomous logit regression model applied to seven broadly defined fields in Natural Science streaming and found no selection bias in admitting applicants into the field of first and second ordered preferences among girls and boys, whilst there were a variation among the fields ranked thereafter.

Keywords: Student; Field choice; Preference matching; Admission; Social science; Natural science; Logit models; Ethiopia (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s40745-018-0182-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:aodasc:v:8:y:2021:i:2:d:10.1007_s40745-018-0182-z

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-018-0182-z

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().