Table 1.
Disability-related Employment and Pay Gaps
| Figures represent regression coefficients (s.e. in parentheses) | ||||||||
| Dependent variable: | Employed |
Ln(hourly pay) |
||||||
|---|---|---|---|---|---|---|---|---|
| Dataset: | ACS |
SIPP |
ACS |
SIPP |
||||
| (1) | (2) | (3) | (4) | |||||
| Disability type | ||||||||
| Visual impairment | −0.053** | (0.002) | −0.048*** | (0.0183) | −0.079** | (0.004) | −0.124** | (0.0571) |
| Hearing impairment | −0.032** | (0.002) | −0.013 | (0.0166) | −0.046** | (0.003) | −0.005 | (0.0425) |
| Cognitive impairment | −0.289** | (0.001) | −0.193** | (0.003) | ||||
| Mobility impairment | −0.343** | (0.001) | −0.139** | (0.003) | ||||
| Other limit in dressing or bathing | −0.196** | (0.007) | −0.081** | (0.017) | ||||
| Other limit in going outside | −0.359** | (0.003) | −0.185** | (0.008) | ||||
| Speech impairment | −0.105*** | (0.0257) | −0.133 | (0.0853) | ||||
| Difficulty with physical activities: | ||||||||
| Climbing 10 stairs | −0.043** | (0.0201) | −0.055 | (0.0446) | ||||
| Walking 3 blocks | −0.129*** | (0.0203) | −0.115** | (0.0505) | ||||
| Standing for one hour | −0.134*** | (0.0192) | 0.024 | (0.0386) | ||||
| Sitting for one hour | 0.005 | (0.0179) | 0.015 | (0.0457) | ||||
| Stooping, crouching, or kneeling | −0.033** | (0.0149) | −0.059** | (0.0289) | ||||
| Reaching over head | −0.033* | (0.0182) | −0.011 | (0.0456) | ||||
| Lifting and carrying 10 lbs | −0.103*** | (0.0205) | 0.037 | (0.0514) | ||||
| Pick up glass or grasp pencil | −0.010 | (0.0188) | −0.117** | (0.0503) | ||||
| Pushing or pulling large objects | −0.093*** | (0.0180) | −0.007 | (0.0390) | ||||
| Mental or cognitive impairment: | ||||||||
| Learning disability | −0.023 | (0.0189) | 0.016 | (0.0494) | ||||
| Alzheimer’s, senility, or dementia | −0.104*** | (0.0232) | −0.059 | (0.0848) | ||||
| Intellectual disability | −0.097*** | (0.0365) | −0.536*** | (0.149) | ||||
| Developmental disability | −0.104** | (0.0476) | −0.094 | (0.147) | ||||
| Other mental/emotional condition | −0.068*** | (0.0183) | −0.120*** | (0.0462) | ||||
| Observations | 9,246,283 | 20,120 | 8,598,128 | 18,569 | ||||
Columns 1 and 2 are based on linear probability regressions, and columns 3 and 4 are based on Heckman models. All regressions control for education, race/ethnicity, and gender; the ACS regressions also control for gender interacted with marital status, state of residence, and year; the SIPP regressions and the ACS employment regression also control for age, while the ACS pay regression controls for labor market experience. See Tables 5 and 6 for fuller results and descriptive statistics.