Table 5.
Decomposition of telework likelihood
| Coeff | Std. error | % of difference explained | |
|---|---|---|---|
| Pandemic-related telework | |||
| No disability | 0.236** | (0.001) | |
| Disability | 0.194** | (0.005) | |
| Difference | 0.042** | (0.005) | |
| Explained | |||
| Total | 0.051** | (0.003) | 121.6% |
| Occupation | 0.022** | (0.002) | 51.3% |
| Industry | 0.005** | (0.001) | 10.8% |
| Education | 0.016** | (0.001) | 38.2% |
| Gender | 0.000 | (0.000) | − 0.1% |
| Race/ethnicity | 0.001** | (0.000) | 2.4% |
| Age | 0.002** | (0.000) | 4.6% |
| Number of children | 0.000* | (0.000) | − 0.8% |
| Part-time employment | 0.004** | (0.000) | 10.2% |
| Self-employed | 0.001** | (0.000) | 2.1% |
| Month | 0.001* | (0.001) | 3.1% |
| Unexplained | − 0.009* | (0.004) | − 21.6% |
| Sample size | 608,879 | ||
The notation * is significantly different from zero at p < 0.05, **p < 0.01 (standard errors in parentheses). Results represent Oaxaca decomposition of likelihood of pandemic-related telework for those of working age (18–64) who have a job, using logits accounting for gender, race/ethnicity (4 categories), education (5 categories), age (three categories), occupation (304 categories), and industry (51 categories)