Overview
Jeffrey Hemmeter is a researcher at the Social Security Administration's Office of Research, Evaluation, and Statistics. His work spans descriptive analysis of DI and SSI program populations (with Michelle Stegman Bailey) and evaluation of program processes including the age-18 redetermination and SSI youth outcomes.
Key Contributions / Features
- Unmet health care needs pre-transition (DeCesaro and Hemmeter 2009): Co-authored NSCF-based profile of SSI children's health care before age-18 transition; 9.5% unmet needs, 24% MOOP incidence; Medicaid as dominant protector; administrative barriers > financial barriers; SSI income is fungible.
- Hemmeter (2011) — sole author; Health Services Research 46(4): 1224–42; NSCF data (n=869, ages 19–23); SSI exiters after age-18 redetermination face 2× unmet health needs (59% vs. 32%); mechanism is Medicaid loss, not health status differences; 61% of exiters uninsured vs. 2% of continuers; being uninsured raises any unmet need by +48 pp. See SSI Children's Program.
- Stegman Bailey and Hemmeter (2014) — co-authored with Michelle Stegman Bailey; SSA research note profiling noninstitutionalized DI and SSI participants (December 2010); DI reduces aggregate poverty gap by 87.3%, SSI by 71.3%; near-universal Medicaid coverage among SSI recipients (94.9%).
- Earlier SSI youth work: Hemmeter and Gilby (2009) on age-18 redetermination post-participation patterns (SSB 69:4); Hemmeter, Kauff, and Wittenburg (2009) on changing circumstances of child SSI recipients (JVR 30).
- Hemmeter and Bailey (2016) — "Earnings after DI: Evidence from Full Medical Continuing Disability Reviews." IZA Journal of Labor Policy 5:11; CDR Waterfall file + Summary Earnings Record (N=2,124,835 DI workers, 1998–2008 FMRs); upper-bound comparison methodology at the exit margin: ~70% of ceased DI beneficiaries have any post-FMR earnings but only 37% in all follow-up years; only 20% maintain earnings above SGA or poverty threshold in every post-FMR year; cessation impact upper bound ~43 pp; expanding CDRs to marginal cases (MINE, low-profile-score) yields substantially worse outcomes. See Causal Effects of DI Receipt.
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