Strand and Trenkamp (2015) study Disability Insurance (DI) claimants who were denied at Step 5 of the sequential determination process because they retained the capacity to perform some job in the national economy — the "own-occupation impairment" population. Using 37,110 claimants denied at Step 5 in 2005 who did not appeal and did not reapply (approximately 14% of all Step 5 denials), they document substantial post-denial earnings losses: employment fell 21.8 percentage points (pp) and median earnings fell to 77 cents on the dollar relative to pre-onset levels. Mental disorders produce the largest employment and earnings declines; sensory and certain cardiovascular/neurological impairments produce the smallest.
| Earnings decile | Employment before | Employment after | Earnings ratio (medians) |
|---|---|---|---|
| 1st | 67.6% | 48.6% | 0.92 (medians rose slightly) |
| 5th | 97.0% | 74.8% | 0.74 |
| 9th | 99.1% | 73.3% | 0.58 |
| 10th | 99.5% | 67.9% | 0.52 |
The top decile fell from $87,123 to $45,374 median earnings (−48%); the employment drop was also steepest (−31.7 pp vs. the overall −21.8 pp). For the lowest decile, median conditional earnings actually rose slightly ($9,943 → $12,700), reflecting selection bias: workers with very low pre-onset earnings who had large losses would have qualified for DI (fallen below substantial gainful activity (SGA)) and been excluded from the sample.
"We find that about one-quarter to one-third of high earners were not employed 3 years after the initial determination. Among those who were employed, earnings decreased by one-third to one-half of their pre-onset levels. These results provide a benchmark for one aspect of the generosity of the DI program."
"Our sample population had return-to-employment rates that were similar to groups that had received vocational rehabilitation services."
A clean administrative-data descriptive paper, not a causal identification study. Its primary value is documenting the coverage gap: workers whose impairments cause genuine earnings losses but who do not meet the any-occupation standard. The 77-cent earnings ratio and 22 pp employment decline are the numbers worth preserving. The diagnosis-level breakdown is useful for vocational rehabilitation (VR) policy targeting: mental disorders are problematic (large employment declines even for this higher-work-capacity group) while sensory and selected cardiovascular/neurological impairments are more tractable. The selection bias caveat at lower deciles is real: those estimates understate losses for the full own-occupation population because the most-affected low earners qualified for DI and exit the sample. No causal identification; the pre/post comparison conflates the occupation change effect with business cycle and aging over 2000–2008.