Agent-Based Simulation Models of the College Sorting Process
Sean Reardon (),
Matt Kasman (),
Daniel Klasik () and
Rachel Baker ()
Additional contact information
Sean Reardon: https://ed.stanford.edu/faculty/seanreardon
Matt Kasman: https://www.brookings.edu/author/matthew-kasman/
Rachel Baker: http://education.uci.edu/faculty/index.php
Journal of Artificial Societies and Social Simulation, 2016, vol. 19, issue 1, 8
We explore how dynamic processes related to socioeconomic inequality operate to sort students into, and create stratification among, colleges. We use an agent-based model to simulate a stylized version of this sorting processes in order to explore how factors related to family resources might influence college application choices and college enrollment. We include two types of â€œagentsâ€ â€”students and collegesâ€”to simulate a two-way matching process that iterates through three stages: application, admission, and enrollment. Within this model, we examine how five mechanisms linking studentsâ€™ socioeconomic background to college sorting might influence socioeconomic stratification between colleges including relationships between student resources and: achievement; the quality of information used in the college selection process; the number of applications students submit; how students value college quality; and the studentsâ€™ ability to enhance their apparent caliber. We find that the resources-achievement relationship explains much of the student sorting by resources but that other factors also have non-trivial influences.
Keywords: Socioeconomic Inequality; College Sorting; College Admission; College Enrollment (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2014-59-2
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