TABLE 2.
Independent variable: | Occupational employment change | ||||||||
---|---|---|---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | (7) | |||
Std. VSE Risk Index | 0.016 | −0.009 | 0.008 | ||||||
(0.027) | (0.031) | (0.032) | |||||||
Std. O*NET measures | |||||||||
Proximity | 0.075* | 0.032 | 0.046 | 0.025 | |||||
(0.023) | (0.032) | (0.032) | (0.044) | ||||||
Disease |
|
−0.060* |
|
−0.066 | |||||
(0.027) | (0.019) | (0.018) | (0.039) | ||||||
Outdoor | 0.057 | 0.057 | 0.047 | 0.056 | |||||
(0.042) | (0.056) | (0.055) | (0.070) | ||||||
Contact | −0.083* | −0.048 | −0.051 | −0.046 | |||||
(0.029) | (0.027) | (0.028) | (0.031) | ||||||
Public | 0.048 | 0.029 | 0.017 | −0.0022 | |||||
(0.035) | (0.033) | (0.033) | (0.024) | ||||||
Std. census share measures | |||||||||
Live with health worker | 0.003 | 0.000 | 0.003 | ||||||
(0.023) | (0.023) | (0.034) | |||||||
Unsuitable dwelling | 0.060** | 0.006 | 0.108 | ||||||
(0.016) | (0.021) | (0.065) | |||||||
Public transit for work | −0.0261 | −0.009 | −0.006 | ||||||
(0.017) | (0.019) | (0.021) | |||||||
Working from home | −0.013 | −0.013 | −0.007 | ||||||
(0.018) | (0.020) | (0.021) | |||||||
Low education | 0.066* | 0.104* | 0.010 | 0.103* | |||||
(0.023) | (0.031) | (0.037) | (0.034) | ||||||
Female | 0.017 |
|
|||||||
(0.046) | (0.013) | ||||||||
Recent immigrant | −0.094 | −0.032 | |||||||
(0.054) | (0.029) | ||||||||
Constant | 0.193** | 0.206** | 0.190** | 0.194** | 0.174** | 0.189** | 0.188** | ||
(0.026) | (0.020) | (0.017) | (0.016) | (0.019) | (0.017) | (0.021) | |||
Observations | 458 | 458 | 458 | 458 | 458 | 458 | 458 |
Table shows the estimated linear regression coefficients of the change in employment on standardized measures of viral transmission risk, where one observation corresponds to a four‐digit occupation. Standard errors are in parentheses and are clustered at the two‐digit occupation level. Statistical significance is denoted by ** at the 1% level, * at the 5% level and at the 10% level. Health occupations are excluded from the sample. Regressions are weighted by the share of 2019 employment in a given four‐digit occupation.