Where Credit is Due - The Relationship between Family Background and Credit Health

Sep 14, 2026

Uploaded by Theodore

Analyzes how family socioeconomic background relates to early-career credit health, focusing on credit scores and prime/subprime status. Uses linked administrative records from credit bureaus and education systems, with a college-bound cohort and measures of disadvantage such as parental education and Pell Grant receipt. Finds significant background correlations at early career stages, persistent gaps after accounting for achievement and schooling, and evidence that educational borrowing is negatively associated with credit health.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages16

Reading Time40 min

AccessFree to download

Are Opportunities Equally Available to Everybody?

Why Credit Health?

Main Findings

Linked Person-level Administrative Records

Sample Construction

Summary Statistics

Credit Gap in Simple Framework

Where Credit is Due: The Relationship between Family Background and Credit Health Sarena Goodman, Federal Reserve Board of Governors Alice Henriques, Federal Reserve Board of Governors Alvaro Mezza, Federal Reserve Board of Governors The analysis and conclusions set forth are those of the authors and do not indicate concurrence by other members of the research staff or the Board of Governors. Are Opportunities Equally Available to Everybody? • Socioeconomic status (SES) highly correlated between parents and children (Solon, 1999, Chetty et al., 2014) • Places policy may help level playing field have key features: • Measurable gap by background • Early in the lifecycle • “Important” mode of transmission • For example, achievement gaps 􀃆 educational interventions • Our study examines (early‐career) credit health • Credit scores • Prime/subprime Why Credit Health? • Reflects likelihood of default within some time frame • Based on prior interactions with credit markets • E.g., payment history, amount owed, length of credit, new credit, credit mix • Negative credit events highly predictive and tend to persist • Scoring models cannot (explicitly or implicitly) make use of demographics • They do not appear to penalize on race, ethnicity, or gender (Avery, Brevoort, and Canner, 2012; Board of Governors, 2007) • Early differences may contribute to overarching socioeconomic divides • Determines access to (and price/terms of) credit • Consumption‐smoothing across shocks and periods • Used to evaluate consumer risk for non‐credit transactions • Insurance, rental housing, utility contracts, and employment Main Findings • Background significantly correlated with early‐career credit health • Among those who attended college, 30 year olds from disadvantage: • 100 point lower credit scores • 20 percentage points more likely to be “subprime”(i.e., have reduced access to credit) • Holds for various definitions of background and credit health • A gap remains upon inclusion of achievement, postsecondary schooling, and key elements of early credit histories • Educational borrowing negatively correlated with credit health • Thus, borrowing costs higher and opportunity sets more restrictive for those from disadvantage, even holding many factors constant • Family background itself may have predictive power for credit health Linked Person‐level Administrative Records • TransUnion • Credit records roughly bi‐annually from 1997‐2014 • Focal year is 2008 but also examine 2014 • CollegeBoard • SAT scores, cohort, and parental education • National Student Clearinghouse • Postsecondary enrollment and graduation records • Department of Education • Financial aid records *Data were anonymized. No PII was provided to the FRB Sample Construction • Representative cohort of ~35,000 23‐31 year olds with credit files in 2004 (Mezza and Sommer, 2016) • Restrict to 5,421 people who took SAT and graduated high school between 1994 and 1999 (i.e.,“college‐bound” individuals) • Four measures of disadvantage (all binary) • Parental education: mom (dad) equals 1 if mom (dad) has less than a B.A. • Ever awarded a Pell Grant • Ever awarded the maximum Pell Grant • Two primary measures of credit health • Credit score in 2008 (after most schooling is complete)* • Prime borrower: 1 if credit score ≥ median score in 2008 • Also examine definitions that accord with housing market and standard industry thresholds *The credit score used in this analysis is the TU TransRisk AM Score Summary Statistics Credit Gap in Simple Framework | Disadvantage
Constant
Observations
R‐squared | Credit Score | | | | Prime Borrower? | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | Mom
(Less than
B.A.) | Dad
(Less than
B.A.) | Ever
Awarded a
Pell Grant? | Ever
Awarded
the Max
Pell Grant? | Mom
(Less than
B.A.)

FAQs

What does the study define as credit health, and why is it important?

Credit health is reflected by the likelihood of default over a time frame, based on prior interactions with credit markets such as payment history, amount owed, credit length, and credit mix. It determines access to and the price or terms of credit and affects broader transactions.

How does family background relate to early-career credit scores in the results?

Background is significantly correlated with early-career credit health. For those who attended college, people from disadvantage show substantially lower credit scores and higher likelihood of being “subprime,” and the gap persists even after including achievement, postsecondary schooling, and early credit history elements.

What data sources and sample does the analysis use?

The study links credit records (TransUnion) with education data (CollegeBoard SAT and parental education, National Student Clearinghouse enrollment and graduation, and Department of Education financial aid). It constructs a representative cohort and restricts to SAT takers who graduated high school between 1994 and 1999, yielding a college-bound group.

Sep 14, 2026

Uploaded by Theodore