Table 1 OLS models for IB and OBTI.
From: Invulnerability bias in perceptions of artificial intelligence’s future impact on employment
IB | OBTI | |||||
|---|---|---|---|---|---|---|
Coef. | Robust std. error | P-value | Coef. | Robust std. error | P-value | |
Intercept | 0.087 | 0.142 | 0.541 | 0.049 | 0.161 | 0.760 |
Age | −0.069 | 0.085 | 0.416 | −0.037 | 0.096 | 0.701 |
Female | 0.238 | 0.140 | 0.090 | −0.122 | 0.149 | 0.414 |
Bachelor’s degree | −0.091 | 0.183 | 0.620 | 0.043 | 0.202 | 0.833 |
Graduate degree | −0.479 | 0.170 | 0.005 | 0.010 | 0.201 | 0.959 |
AI knowledge | −0.149 | 0.067 | 0.028 | 0.166 | 0.082 | 0.043 |
Interaction: female-age | 0.327 | 0.132 | 0.014 | −0.085 | 0.137 | 0.533 |
Sample size | 201 | 201 | ||||
R2/R2 adjusted | 0.148/0.122 | 0.051/0.022 | ||||
