Unpacking the Gap
Socioeconomic Background and the Stratification of College Applications in the United States
Bibliographic Data
| ID | 21751998 |
|---|---|
| Authors | Wesley Jeffrey (0000-0003-0961-4538, University of California, Irvine, corresponding author), Benjamin G Gibbs (0000-0002-3610-7956, Brigham Young University) |
| Year | 2024 |
| Volume | 65 |
| Issue | 4 |
| Pages | 705-731 |
| Publication date | 2024-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 1573-188X • E-ISSN: 0361-0365 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11162-024-09780-z |
| OpenAlex | W4393039682 |
| Language | EN |
| Citations received | 2 |
| References cited | 45 |
While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about why students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in college application selectivity. Using data from the High School Longitudinal Study of 2009 , we examine the contribution of theoretical factors to the class-based gap in the selectivity of college applications. Namely, from the rational action model we estimate the contribution of performance differentials and choice differentials , while from the status attainment model we look at the level and type of educational expectations as well as the number of applications submitted. Through a series of Heckman selection models, as well as a Blinder-Oaxaca decomposition analysis, we can explain 85% of the gap in college application selectivity between students in the top and bottom SES quintiles. In turn, we estimate that 60% of this explained portion is due to rational action mechanisms such as grades and test scores while 35% is due to status attainment mechanisms. Finally, we reveal that SES moderates the relationship between type of expectations and application selectivity. We find that the payoff to higher expectations (in terms of selective applications) disproportionately accrues to higher-SES students
Economic growth · Economics · Higher education · Mathematics education · Social science · Social stratification · Socioeconomic status · Sociology · Unpacking · Demography · Higher Education Research Studies · Intergenerational and Educational Inequality Studies · Labor market dynamics and wage inequality · Psychology
Choosing Colleges
Unequal Higher Education
Crossing the Finish Line
No Longer Separate, Not Yet Equal
The Missing "One-Offs"
Understanding the College‐Choice Process
Running in Place
The full extent of student-college academic undermatch
Does It Pay to Attend an Elite Private College? Cross-Cohort Evidence on the Effects of College Type on Earnings
Studying College Access and Choice
Male-Female Wage Differentials in Urban Labor Markets
Sample Selection Bias as a Specification Error
The Blinder–Oaxaca Decomposition for Linear Regression Models
Wage Discrimination
Education, opportunity, and social inequality
Social Stratification
Income Segregation and Intergenerational Mobility Across Colleges in the United States
Navigating the Road to College
Inherited prestige
Aiming high
The Relationship between Parental Involvement as Social Capital and College Enrollment
Regression with Missing Ys
The Educational and Early Occupational Attainment Process
Tools for Intuition about Sample Selection Bias and Its Correction
The Evolution of Class Inequality in Higher Education
Differential Asset Conversion
Status Attainment Processes
Potholes on the Road to College
College Proximity
Horizontal Stratification in Postsecondary Education
Effectively Maintained Inequality
High School Effects on College Intentions
The relations between race, family characteristics, and where students apply to college
College for some to college for all
Choosing colleges
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |