Like Any Other Trap data instructions and sample code - Student Loan Repayment

Principal Investigator(s):  View help for Principal Investigator(s) Fernando Furquim, Minneapolis College; KC Deane, University of Michigan; Brian McCall, University of Michigan; Stephen DesJardins, University of Michigan

Version:  View help for Version V1

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Like Any Other Trap data instructions and sample code - Student Loan Repayment 0

Project Citation: 

Furquim, Fernando, Deane, KC, McCall, Brian, and DesJardins, Stephen. Like Any Other Trap data instructions and sample code - Student Loan Repayment. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-03-18. https://doi.org/10.3886/E165382V1

Project Description

Summary:  View help for Summary This paper studies the patterns of individuals’ student loan repayment for up to 12 years, tracking borrowers through formative ages from early 20s to late 30s. Using social sequence and cluster analysis to understand these longitudinal repayment histories, we identify five archetypes of loan repayment that describe borrowers’ experiences: persistent defaulters, perpetual payers, rapid full payers, late full payers, and consolidators. We find significant stratification by race/ethnicity, social class, and institutional sector into repayment clusters, with minoritized borrowers and those attending for-profit institutions more likely to experience adverse borrowing outcomes and to experience them for longer.



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V1 [2022-03-18]

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