Student Uncertainty and Major Choice
Anil Nathan () and
Justin Svec ()
No 1301, Working Papers from College of the Holy Cross, Department of Economics
This paper examines how model uncertainty affects students' choice of major. To account for this uncertainty, the students apply a max-min operator to their optimization problem. We show analytically that greater uncertainty in a particular major causes the student to be less likely to choose that major and that greater uncertainty across all majors causes fewer students to major in science, technology, engineering, and math. To test the model's assumptions and predictions, we have conducted a novel survey of college freshmen. The results from this survey are consistent with assumptions and implications of the theoretical model.
Keywords: Major choice; model uncertainty; STEM (search for similar items in EconPapers)
JEL-codes: D81 I23 J24 (search for similar items in EconPapers)
Pages: 28 pages
New Economics Papers: this item is included in nep-edu
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:hcx:wpaper:1301
Access Statistics for this paper
More papers in Working Papers from College of the Holy Cross, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Victor Matheson ().