Causal Evidence Dashboard Yin (2026) · Callaway-Sant'Anna Never-Adopter Controls: ND, SD, WI, NV Pre-Trends Indistinguishable from Zero ABLE Resource Center · RISEI Lab Causal Evidence Dashboard Yin (2026) · Callaway-Sant'Anna Never-Adopter Controls: ND, SD, WI, NV Pre-Trends Indistinguishable from Zero ABLE Resource Center · RISEI Lab
Interactive Evidence Dashboard

The First Causal Evidence on the ABLE Act

Yin (2026) uses a Callaway & Sant'Anna staggered difference-in-differences estimator on state-year ABLE program launches from 2016 through 2026, with four never-adopter control states (North Dakota, South Dakota, Wisconsin, Nevada). Each panel below shows the event-study coefficient for a different outcome, five years before and five years after each state's ABLE program launch. Pre-trends are statistically indistinguishable from zero across all outcomes.

+3.5%
Log disposable income for adults with disabilities, event-time year +5
SE 0.0378 · p < 0.10
-4.8 pp
Transfer share of income, triple-difference (Disability × ABLE × Post)
SE 0.0033 · p < 0.01
+3.06%
Post-average log disposable income effect, adults with disabilities
SE 0.0164 · p < 0.10
-$0.47B
Aggregate transfer receipts per state-year (triple-diff)
SE $0.09B · p < 0.01
Event study — Log disposable income
Callaway & Sant'Anna event-time coefficients, adults with disabilities. Event time 0 is the year of the state's ABLE program launch.
Bars are 95% confidence intervals. Pre-treatment coefficients (t = -5 through t = -1) are jointly indistinguishable from zero. Data: Yin (2026), Northwestern working paper.

How to read this dashboard

Event time. The horizontal axis is event time — the number of years relative to each state's ABLE program launch. A state that launched in 2016 has t = 0 in 2016, t = +1 in 2017, and so on. A state that launched in 2020 has t = 0 in 2020, t = +1 in 2021.

Coefficients. Each dot shows the average treatment effect on the treated (ATT) at that event time, estimated using the Callaway & Sant'Anna (2021) doubly-robust estimator with never-adopter control states.

Interpretation. Pre-trend coefficients that hover around zero support the parallel-trends assumption. Post-launch coefficients that rise (for disposable income) or fall (for transfer share) show the causal effect of ABLE program availability on financial outcomes.

Triple difference (Disability × ABLE × Post)
Comparing adults with disabilities to adults without disabilities in the same state, before and after ABLE launch. Isolates the ABLE-specific effect on the target population.
Log disposable income
-3.18%
Differential effect on adults with disabilities relative to adults without disabilities in ABLE states, post launch.
SE 0.0084 · p < 0.01 ***
Transfer share of income
-4.83 pp
Larger reduction in transfer-share dependence among adults with disabilities than among adults without disabilities.
SE 0.0033 · p < 0.01 ***
Aggregate transfer receipts
-$0.47B
Per-state-year reduction in aggregate transfer receipts for adults with disabilities in ABLE states.
SE $0.09B · p < 0.01 ***
Interpretation: adults with disabilities in ABLE states see a LARGER transfer-share decline than adults without disabilities in the same states. Consistent with substitution from safety-net transfers toward accumulated assets. N = 2,448 state-year × disability cells.
ABLE and Medicaid expansion are substitutes
ABLE program effect on log disposable income for adults with disabilities, by Medicaid expansion status. Interaction test.
The ABLE effect is largest in non-Medicaid-expansion states (+2.95%, p < 0.01), and is offset by roughly two-thirds in Medicaid-expansion states (-2.36%, p < 0.10 on the interaction). ABLE and Medicaid expansion both relax asset-related constraints for adults with disabilities; where one is present, the other's marginal effect is smaller. Data: Yin (2026), N = 1,632.