--- title: "Second Chance: Di Maggio, Kalda & Yao (2026)" description: >- Distilled: exploiting plausibly random private student debt discharge (National Collegiate paperwork loss), the paper finds debt relief reduces other debt balances and delinquency rates, and raises geographic and job mobility and income for defaulted borrowers. J. Finance 2026, CC BY 4.0. Eight core results with source locators, datasets used, the identification strategy, and the estimating specifications with equations. sidebar: label: Di Maggio-Kalda-Yao 2026 order: 1 tags: [paper-summary, household-finance, student-debt, debt-relief, consumer-credit, labor-markets, panel-regression, difference-in-differences, open-access, cc-by, peer-reviewed, unreplicated, data:equifax-credit, data:lexisnexis-court] paper: authors: Marco Di Maggio, Ankit Kalda, Vincent Yao authorList: - { family: Di Maggio, given: Marco, affiliation: Imperial College Business School, London and NBER } - { family: Kalda, given: Ankit, affiliation: Kelley School of Business, Indiana University } - { family: Yao, given: Vincent, affiliation: J. Mack Robinson College of Business, Georgia State University } year: 2026 venue: The Journal of Finance 81(1), February 2026, 507–550 venueShort: J. Finance 2026 licenseShort: CC BY 4.0 resultsCount: 8 citedByCount: 0 jel: codes: [G51, D14, I22] assignedBy: claude-opus-4-8 date: 2026-06-05 topics: ['Financial Literacy, Pension, Retirement Analysis', 'Higher Education Research Studies'] dataAccess: proprietary-confidential outcome: - non-student debt balances and delinquency rates - geographic and job mobility - borrower income outcomeClass: [household-finance] doi: 10.1111/jofi.70002 license: 'CC BY 4.0 (confirmed via Crossref DOI metadata: content-version vor, URL creativecommons.org/licenses/by/4.0/, delay-in-days 0, start 2025-12-14; corroborated by artifact p.507 Creative Commons Attribution License)' access: open machineAccess: 'blocked-paywall (Wiley site wrapper; tested 2026-05-31; CC-BY VOR licence confirmed in publisher DOI metadata despite access wrapper)' redistribution: extract-only (CC BY 4.0 permits mirroring; not hosted in this batch) methods: role: applies-method family: reduced-form-causal buildsFrom: [difference-in-differences, event-study, panel-regression] identification: natural-experiment contributionType: [new-data, new-fact] mechanisms: [financial-constraint, debt-overhang] introducesData: true scope: region: US assetClass: consumer loans (private student debt, credit cards, mortgages, auto) period: 2010-01..2017-12 frequency: monthly dataType: [administrative] granularity: [individual] n: "1,283,639 borrower-months (9,878 treated; 6,388 control borrowers)" findings: - { ref: R1, outcome: non-student debt balances and delinquency rates, metric: coefficient, value: "SL balance -$7,404.56***; credit score +6.81***", direction: negative, vsBenchmark: "vs control borrowers (no discharge): treated borrowers shed direct student loan debt" } - { ref: R2, outcome: non-student debt balances and delinquency rates, metric: coefficient, value: "-$4,600.88*** (SE 387.55)", direction: negative } - { ref: R3, outcome: non-student debt balances and delinquency rates, metric: coefficient, value: "utilization -0.023***; credit limit -$971.82**; new accounts -0.002***; monthly payment +$13.57**", direction: negative, vsBenchmark: "vs control borrowers: treated group actively deleverages across credit dimensions" } - { ref: R4, outcome: non-student debt balances and delinquency rates, metric: pp-effect, value: "-0.03*** (3 pp); bankruptcy -0.04*** pp; foreclosure -0.03*** pp", direction: negative } - { ref: R5, outcome: geographic and job mobility, metric: pp-effect, value: "mobility +0.003***; job change +0.003**; new industry +0.003*", direction: positive } - { ref: R6, outcome: borrower income, metric: coefficient, value: "+$79.98*** monthly (SE 31.99); cumulative ~$3,000 over 3 years", direction: positive } - { ref: R7, outcome: non-student debt balances and delinquency rates, metric: coefficient, value: "adjudicated controls: total balance -$5,099.56*** vs baseline -$4,600.88***", direction: negative, vsBenchmark: "adjudicated-control subsample vs full sample: larger effect confirms wage-garnishment channel" } - { ref: R8, outcome: borrower income, metric: pp-effect, value: "variable pay share +0.031*** (all jobs); +0.042*** (no-job-change); hours +1.20** (hourly workers)", direction: positive, vsBenchmark: "treated vs control post-discharge: treated group shifts toward higher variable pay and hours" } resultType: confirms relatesTo: - { cite: 'Dobbie & Song (2015)', doi: 10.1257/aer.20130612, relation: builds-on, note: 'benchmark for debt-relief effects on credit and labor outcomes via chapter 13 bankruptcy; this paper examines private student debt discharge outside bankruptcy' } - { cite: 'Dobbie & Song (2020)', doi: 10.1257/aer.20171541, relation: builds-on, note: 'targeted credit-card debt relief experiment; this paper finds faster and broader effects for student debt discharge' } - { cite: 'Melzer (2017)', doi: '10.1111/jofi.12482', relation: tests, note: 'debt overhang reducing homeowner investment; here the same mechanism is tested for student-debt borrowers in the labor market' } - { cite: 'Herkenhoff, Phillips & Cohen-Cole (2021)', doi: '10.1016/j.jfineco.2021.03.004', relation: tests, note: 'credit access improving self-employment; this paper tests whether student debt discharge relaxes credit constraints' } openQuestions: - 'Whether results generalize to blanket student loan forgiveness programs, where borrowers are not necessarily in default and relief is not unexpected; the paper explicitly notes its findings likely do not speak to blanket forgiveness (p. 513).' - 'The moral hazard costs of debt relief in the student loan market cannot be estimated in this setting, as National Collegiate paperwork loss is plausibly random and not driven by borrower anticipation (p. 548).' - 'Whether the effects operate through hidden income or informal income substitution, which cannot be directly tested because informal income is unobserved (p. 543-544).' replicationCode: status: available licenceVerification: - source: Crossref REST API works/10.1111/jofi.70002 checked: 2026-05-31 by: paper-distiller (claude-sonnet-4-6) found: 'license[0].content-version=vor, URL=http://creativecommons.org/licenses/by/4.0/, delay-in-days=0, start=2025-12-14; license[1].content-version=tdm (Wiley TDM)' extraction: - by: paper-distiller (claude-sonnet-4-6) date: 2026-05-31 role: extracted note: Full text read (pp. 507–550); eight results extracted from the CC-BY PDF. Not human-verified. Not reproduced. Replication code is published as Supporting Information but has not been run here. - by: paper-verifier (claude-sonnet-4-6) date: 2026-05-31 role: verified note: Locators and reported magnitudes re-checked against the source PDF; one fix applied; R5 job-change significance corrected from *** to ** (Table VI col. 2 shows two stars at 5% level, not three). - by: paper-distiller (claude-sonnet-4-6) date: 2026-06-01 role: extracted note: 'Augment pass. Added methods, scope, relatesTo, openQuestions, replicationCode, proposedVocab frontmatter blocks, and three formal body sections (Theory / model, Method, Empirical specifications) with equations transcribed from pp. 517-519 of the source PDF read this session (budget constraint eq., baseline DiD eq. 1, dynamic event-study eq. 2). Core results table is unchanged from the verified version above. The new formal sections are extracted, not yet re-verified by paper-verifier.' - by: paper-verifier (claude-sonnet-4-6) date: 2026-06-01 role: verified note: 'All 8 core-result locators and magnitudes re-checked against PDF tables (II–VIII, pp. 524–539); all correct. Budget constraint (p. 517) and eq. 1–2 (pp. 518–519) verified term-by-term: subscripts, signs, summation indices, and FE structure match. Formal sections (Theory/model, Method, Empirical specifications) checked against PDF: all accurate. No em-dashes, no colorful adjectives. No fixes required.' - by: paper-distiller (claude-sonnet-4-6) date: 2026-06-03 role: extracted note: >- Added classification axes (identification, contributionType, mechanisms, introducesData, data-scope) from a fresh PDF read; existing results and sections unchanged. - by: paper-verifier (claude-sonnet-4-6) date: 2026-06-03 role: verified note: >- Classification axes (identification, contributionType, mechanisms, introducesData, data-scope) re-checked against the source PDF; all axes confirmed correct - natural-experiment from National Collegiate paperwork-loss quasi-experiment (pp. 508-509, 516), new-data and new-fact contributions both supported, financial-constraint and debt-overhang mechanisms match PDF sections A.1 and A.2 (pp. 534-539), introducesData=true confirmed by hand-collected LexisNexis dataset (p. 508), scope fields match Table I and Table II sample counts; no fixes required. - by: paper-distiller (claude-sonnet-4-6) date: 2026-06-04 role: extracted note: >- Added the effectiveness axis (findings[] per Core-results row, resultType) built from the page's already-verified Core-results table and relatesTo edges; existing results and sections unchanged. - by: paper-verifier (claude-sonnet-4-6) date: 2026-06-04 role: verified note: >- Effectiveness axis (findings[] values/direction, resultType) re-checked against the source PDF; all eight entries confirmed correct against Tables II-VIII (pp. 524-539) - values, SEs, significance stars, and directions all match; resultType=confirms consistent with tests edges (Melzer 2017, Herkenhoff et al. 2021) where prior mechanisms hold; no fixes required. rightsSignalConflict: false --- **What this is.** The paper's core results, datasets, and theory: enough to know what it found without reading all 44 pages. To replicate or extend it, read the full source at the [original](https://doi.org/10.1111/jofi.70002). ## TL;DR Using hand-collected court-filing data matched to Equifax credit bureau records, the paper exploits a plausibly random debt discharge shock: National Collegiate Student Loan Trusts lost paperwork for thousands of borrowers, causing courts to dismiss collection lawsuits and discharge the debt. Treated borrowers (debt discharged) are compared with similar defaulted borrowers whose cases were not dismissed. Debt relief leads to lower balances and delinquency rates on other accounts, higher geographic and job mobility, and approximately $3,000 more income over three years. Both the treated group (via debt relief) and the control group (via wage garnishment and collections) contribute to these differential outcomes. The paper builds on Dobbie and Song (2015), a benchmark for debt-relief effects on credit and labor outcomes via chapter 13 bankruptcy, but examines private student debt discharge outside bankruptcy. It also builds on Dobbie and Song (2020), a targeted credit-card debt relief experiment, and finds faster and broader effects for student debt discharge. ## Core results Magnitudes and significance are as reported; `**`/`***` = 5%/1%. Locators point into the source PDF. | # | Result | Locator | Magnitude | |---|---|---|---| | R1 | Debt relief **reduces student loan balances** by approximately $7,400 and credit scores improve by 6.8 points | Table II, p. 524 | SL balance: -$7,404.56\*\*\* (SE 340.5); credit score: +6.81\*\*\* (SE 1.23); N=1,283,639 | | R2 | **Total non-student debt balances fall** by more than $4,500 for treated borrowers | Table III, p. 528 | -$4,600.88\*\*\* (SE 387.55); credit card -$618.76\*\*\*; mortgage -$1,564.60\*\*\*; auto loan not significant | | R3 | Treated borrowers **deleverage actively**: credit card utilization falls, credit limits decline, new account opening falls, repayments rise | Table IV, p. 529 | Utilization -0.023\*\*\* (SE 0.007); credit limit -$971.82\*\*; new accounts -0.002\*\*\*; monthly payment +$13.57\*\* | | R4 | **Delinquency rates on other accounts fall by 3 percentage points** (12% relative decline); bankruptcy and foreclosure also decline | Table V, p. 531 | Total delinquency -0.03\*\*\* (SE 0.003); bankruptcy -0.04\*\*\* pp; foreclosure -0.03\*\*\* pp; medical default -0.1\*\*\* pp | | R5 | **Geographic mobility rises** 0.3 pp; **job change probability rises** 0.3 pp; **industry switching rises** 0.3 pp | Table VI, p. 532 | Mobility dummy +0.003\*\*\* (SE 0.001); job change +0.003\*\* (SE 0.001); new industry +0.003\* (SE 0.002) | | R6 | **Monthly income rises by approximately $80** (1 pp higher income growth); cumulative gain over three years approximately $3,000 | Table VI, p. 532 | Income (level): +$79.98\*\*\* (SE 31.99); % change in income: +0.01\*\* (SE 0.004) | | R7 | **Control group drives credit outcomes** via liquidity constraints (wage garnishment): estimates are larger when control group is more likely to be garnished | Table VII, p. 537 | Panel A (adjudicated controls): total balance -$5,099.56\*\*\* vs baseline -$4,600.88\*\*\*; delinquency -0.029\*\*\* | | R8 | **Treated group drives labor outcomes** via debt overhang: fraction of variable pay rises +3.1 pp and hours worked rise by 1.20/week for treated borrowers post-discharge | Table VIII, p. 539 | Variable pay share: +0.031\*\*\* (SE 0.015) all jobs; +0.042\*\*\* (SE 0.018) no-job-change sample; hours: +1.20\*\* (SE 0.510) for hourly workers | **Overall (paper's conclusion).** A $7,400 debt-relief shock translates into a $4,600 reduction in non-student indebtedness, a $3,000 income gain over three years, and a $4,700 decline in the amount of debt in delinquency. Effects persist for at least two years and are not transitory. ## Datasets used | Dataset | Role in paper | Wiki page | |---|---|---| | LexisNexis court filings (all U.S. civil courts, 2010–2017) | Hand-collected National Collegiate lawsuit data: borrower identity, court, filing date, outcome | no page yet | | Equifax credit bureau (matched anonymized panel) | Monthly credit outcomes: balances, delinquency, credit score, account types for treatment/control borrowers | no page yet | | Equifax employment and income verification (payroll data, 5,000+ U.S. firms) | Labor market outcomes: monthly gross earnings, hours, job type, tenure, employer | no page yet | Sample: 9,878 treated borrowers; 6,388 control borrowers; 1,283,639 borrower-month observations in the credit data. Lawsuits cover 2010–2017. ## Theory / model The paper has no structural model; it is a reduced-form causal study. It tests three hypotheses derived from debt-overhang and liquidity-constraint models (pp. 519-521): - **Hypothesis 1** (p. 520): Student debt discharge leads to a relative decline in other debt balances. Mechanism: discharge removes a delinquent account from the credit report, relaxes credit constraints, and protects future wages from garnishment, reducing the incentive to borrow further. Building on Herkenhoff, Phillips, and Cohen-Cole (2021), who show credit access improving self-employment, the paper tests whether student debt discharge relaxes credit constraints. - **Hypothesis 2** (p. 520): Student debt discharge leads to a relative decline in the likelihood of default and experiencing distress. Mechanism: improved financial condition reduces delinquency on all accounts and provides positive spillovers to other creditors. - **Hypothesis 3** (p. 521): Student debt discharge leads to a relative increase in mobility and income. Mechanism: debt overhang (analogous to the corporate finance problem) and liquidity constraints distort labor supply decisions; discharge removes these frictions. Melzer (2017) documents debt overhang reducing homeowner investment; here the same mechanism is tested for student-debt borrowers in the labor market. The paper formalizes the borrower's budget constraint (p. 517) to clarify what is and is not observable: $$ c_{i,t} = (1 - s^u_{i,t}) \cdot \gamma_{i,t-1} + (1 - G_i(t_d))(1 - s_{i,t})(Y^o_{i,t} + Y^h_{i,t} + Y^f_{i,t}) - \sum_{l=1}^{A} (1 + r_{i,l}) \cdot b_{i,t,l} $$ where $$c_{i,t}$$ is consumption of individual $$i$$ in period $$t$$; $$\gamma_{i,t-1}$$ is wealth at $$t-1$$; $$G_i(t_d)$$ is a piecewise garnishment function equal to rate $$g$$ if $$i$$ is in the control group after default date $$t_d$$, zero otherwise; $$Y^o_{i,t}$$ is observed wage income; $$Y^h_{i,t}$$ is hidden wage income; $$Y^f_{i,t}$$ is financial income; $$s^u_{i,t}$$ is the savings rate out of assets; $$s_{i,t}$$ is the savings rate out of income; $$r_{i,l}$$ and $$b_{i,t,l}$$ are interest rates and balances for loans of type $$l$$ (p. 517-518). The paper explicitly notes it cannot observe consumption, savings, or hidden income, which limits the set of testable predictions. **Identification.** The source of variation is the plausibly random loss of paperwork by National Collegiate Student Loan Trusts. Courts dismissed collection lawsuits against borrowers whose chain of title could not be proved. This documentation loss is argued to be orthogonal to borrower characteristics (p. 516): the same trust held loans it could and could not prove, and the distinction was driven by clerical errors, not by borrower type. The paper verifies balance on pre-treatment observables and the absence of pre-trends across all outcomes (Figure 2, pp. 525-527). ## Method The empirical strategy uses a difference-in-differences (DiD) estimator building on `difference-in-differences` and `panel-fe`. **Treatment and control groups.** Treated borrowers are those whose National Collegiate cases were dismissed and debt discharged. Control borrowers were sued by the same trusts but their debt was not discharged during the sample period (either the trust did not lose the paperwork or the case was not adjudicated by end of sample). Both groups defaulted on loans owned by the same trust and were subject to collection by the same agency, making the groups likely to be similar on unobservables (p. 518). **Standard-error treatment.** Standard errors are clustered at the zip code level throughout, allowing within-neighborhood error correlation across borrowers (p. 519). Robustness checks use individual-level clustering and double clustering by zip code and calendar month (Internet Appendix Table IA.I). **Treated-only robustness.** To address concerns that the control group is confounded by wage garnishment, the paper re-estimates the main specifications using only treated borrowers, exploiting the staggered timing of discharges as the source of variation (Table IX, p. 541). Results are qualitatively similar and economically meaningful, supporting the validity of the treated group's contribution. ## Empirical specifications **Baseline DiD (equation 1, p. 518).** The main estimating equation is: $$ \text{Outcome}_{i,j,t} = \alpha + \beta \cdot (\text{DebtRelief}_i \times \text{Post}_t) + \mu_i + \gamma_{j \times t} + \epsilon_{i,j,t} \tag{1} $$ - $$\text{Outcome}_{i,j,t}$$ is the outcome variable for borrower $$i$$, filing year $$j$$, calendar year-month $$t$$. - $$\text{DebtRelief}_i$$ = 1 for treated borrowers (debt discharged), 0 for control. - $$\text{Post}_t$$ = 1 after debt discharge and 0 before. - $$\mu_i$$ are individual fixed effects. - $$\gamma_{j \times t}$$ are filing-year by calendar-year-month fixed effects (ensuring treated and control borrowers are compared within the same filing-year cohort and calendar time). - $$\epsilon_{i,j,t}$$ is the error term. - Standard errors clustered at zip code level. N = 1,283,639 borrower-month observations (credit data). **Dynamic event-study (equation 2, p. 519).** To assess pre-trends and persistence: $$ \text{Outcome}_{i,j,t} = \alpha + \sum_{\tau=-5}^{9} \beta_\tau \cdot (\text{DebtRelief}_i \times \text{Post}_\tau) + \mu_i + \gamma_{j \times t} + \epsilon_{i,j,t} \tag{2} $$ - $$\tau$$ indexes event-quarters relative to discharge. - $$\tau = -5$$ captures all months before five quarters pre-treatment and $$\tau = 9$$ captures all months nine or more quarters post-treatment. - Coefficients $$\beta_\tau$$ are plotted with confidence intervals (Figure 2, pp. 525-526). - Pre-trend coefficients are indistinguishable from zero across all outcomes; post-discharge coefficients diverge persistently for at least two years. **Outcome variable groups and samples:** - Credit outcomes (R1-R4): full sample, N = 1,283,639; outcomes include SL balance, credit score, total non-SL balance, credit card balance, mortgage balance, credit card utilization, credit limit, account openings, monthly payments, delinquency rates, bankruptcy, foreclosure, medical default. - Labor outcomes (R5-R6): subsample with Equifax employment data; N = 211,716 (job change), 197,874 (new industry), 106,580 (income level), 91,230 (income growth). - Mechanism tests (R7): subsample with adjudicated control-group cases (Table VII Panel A, N = 1,028,559); and control borrowers with prior collections on file (Table VII Panel B, N = 838,295). - Wage composition (R8): subsample of workers in Equifax payroll data (Table VIII, N = 39,459 all jobs; 28,653 no-job-change; 22,128 hourly). The same two-way FE structure (individual + filing-year x YM) applies in all specifications; the only variation across tables is the outcome variable and the sample restriction. ## When to read the full paper Use the [original DOI](https://doi.org/10.1111/jofi.70002) if you are: replicating (code in Supporting Information); extending the design to other debt types or populations; examining mechanism tests (wage composition, above/below median debt relief, liquidity-constraint heterogeneity); or auditing a specific coefficient. The locators above point you to the exact table. For "what did this paper find," the table above is the intended default. ## Attribution and rights Source: peer-reviewed, *The Journal of Finance* 81(1). This distillation was extracted by an LLM on 2026-05-31 and is **not human-verified or independently reproduced**. The CC BY 4.0 licence (confirmed via Crossref) permits reproduction with attribution. No verbatim PDF is hosted in this batch; the canonical source is the publisher DOI. > **Attribution (CC BY 4.0).** Di Maggio, Marco, Ankit Kalda, and Vincent > Yao. "Second Chance: Life with Less Student Debt." *The Journal of > Finance* 81, no. 1 (February 2026): 507–550. DOI: 10.1111/jofi.70002. > © 2025 The Author(s). Licensed under > [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). > This page is an **adaptation** by the Institute for Automated Research: > core results extracted and re-expressed; **changes were made**.