文章基本信息

标题：Agent-Based Simulation Models of the College Sorting Process
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作者：Sean Reardon ; Matt Kasman ; Daniel Klasik 等
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2016
卷号：19
期号：1
页码：1-27
DOI：10.18564/jasss.2993
出版社：University of Surrey, Department of Sociology
摘要：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 “agents”—students and colleges—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 students’ 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 students’ 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.
关键词：Socioeconomic Inequality; College Sorting; College Admission; College Enrollment