Table 2.
Ordinary least squares and linear probability model estimates of the effect of stuttering on labor market outcomes.
| Outcome variables | Male | Female |
|---|---|---|
| Panel 1: annual earnings | ||
| PWS | −7,628* (3,574) | −7,154* (3,518) |
| n | 2,747 | 2,511 |
| n (PWS) | 71 | 30 |
| Panel 2: employed | ||
| PWS | −0.071 (0.048) | −0.022 (0.073) |
| n | 3,534 | 4,318 |
| n (PWS) | 107 | 62 |
| Panel 3: in the labor force | ||
| PWS | −0.081* (0.033) | −0.086 (0.061) |
| n | 3,641 | 4,317 |
| n (PWS) | 107 | 62 |
| Panel 4: underemployed | ||
| PWS | 0.004 (0.064) | 0.146 (0.091) |
| n | 4,293 | 5,025 |
| n (PWS) | 118 | 65 |
| Panel 5: public assistance receipt | ||
| PWS | 0.036 (0.051) | 0.078 (0.055) |
| n | 4,410 | 5,134 |
| n (PWS) | 126 | 68 |
Note. Each panel-by-column is a separate regression. Standard errors (shown in parentheses) are clustered by school of residence in Wave 1. All estimates are based on weighted regression using the Add Health weights. PWS = person who stutters.
*
p < .05.