Ben-Shalom et al 2012 — Longitudinal Statistics for New Supplemental Security Income Beneficiaries

SSIreturn-to-worklongitudinaldescriptiveage-gradientsocial-securityTTW1619bDI-SSI-overlapstate-variation

Summary

Full Mathematica Policy Research report underlying the 2012 policy brief, tracking new adult Supplemental Security Income (SSI) awardees longitudinally through Section 1619(b) work-incentive use, benefit suspension, and employment outcomes. Covers the 1996 award cohort over 11 years and compares experiences across cohorts (1996–2006), states, and the disability insurance (DI) program. The central finding is that longitudinal rates of benefit suspension for work are 446×6\times the contemporaneous cross-sectional rates, and that the two statistics are mathematically consistent — they measure the same phenomenon from different angles.

Key Claims

Causal Mechanisms Discussed

Concepts Introduced or Extended

Entities Mentioned

Quotes

"Although 1.9 percent of working-age SSI beneficiaries had their benefits suspended for work under the 1619(b) work-incentive program in the month of December 2009, by the 11th year after award (2007), 11.9 percent of those in the 1996 SSI award cohort had been in 1619(b) status for at least one month."

"Our finding that 28.1 percent of the 1996 SSI award cohort was employed in at least one year from 1998 to 2006 is almost identical to the corresponding percentage for the 1996 DI cohort (28.0 percent)."

My Take

The full report's most important addition over the 2012 brief is the demonstration that SSI and DI have roughly parallel longitudinal employment profiles despite different program structures — suggesting that the determinants of return-to-work are primarily beneficiary-level (age, impairment, prior work attachment) rather than program-structural. The DI-overlap correction is analytically crucial: without it, the SSI NSTW rate (9.8%9.8\%) overstates the number of beneficiaries who genuinely exit the public benefit system for work, since 44%44\% of NSTW months still involve DI payments. The cross-state correlation (r=0.75r = 0.75) between service enrollment and NSTW years is striking but underpowered for causal inference — it could reflect services causing better outcomes, or both reflecting unmeasured state economic or demographic factors.