Table A8.2:
Cross-Sectional Models: Absent from Work & Mortality Risk Index
Dependent = Employed - Absent from Work | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||
April - Mean = 0.071 | May - Mean = 0.050 | |||||||||
| ||||||||||
(1) | (2) | (3) | (4) | (5) | (1) | (2) | (3) | (4) | (5) | |
Face-to-Face | 0.014*** | 0.014*** | 0.014*** | 0.001 | 0.009*** | 0.009*** | 0.009*** | 0.002 | ||
(0.004) | (0.004) | (0.004) | (0.014) | (0.003) | (0.003) | (0.003) | (0.008) | |||
Remote Work | −0.014*** | −0.014*** | −0.014*** | 0.017* | −0.011*** | −0.011*** | −0.011*** | 0.016 | ||
(0.004) | (0.004) | (0.004) | (0.010) | (0.003) | (0.003) | (0.003) | (0.020) | |||
Essential | −0.034*** | −0.034*** | −0.034*** | −0.034 | −0.019*** | −0.019*** | −0.019*** | −0.053*** | ||
(0.007) | (0.007) | (0.007) | (0.025) | (0.006) | (0.006) | (0.006) | (0.016) | |||
Mortality Risk Index | 0.003 | 0.003 | 0.003 | 0.006 | 0.003 | 0.004 | 0.004 | 0.005 | ||
(0.003) | (0.004) | (0.004) | (0.003) | (0.003) | (0.004) | (0.004) | (0.004) | |||
Risk × Face-to-Face | −0.000 | −0.000 | −0.000 | 0.001 | 0.001 | 0.001 | ||||
(0.002) | (0.002) | (0.002) | (0.001) | (0.001) | (0.001) | |||||
Risk × Remote Work | 0.003* | 0.003* | 0.001 | 0.001 | 0.001 | −0.000 | ||||
(0.001) | (0.002) | (0.001) | (0.001) | (0.001) | (0.001) | |||||
Risk × Essential | −0.000 | −0.000 | −0.003* | −0.001 | −0.001 | −0.003 | ||||
(0.002) | (0.002) | (0.002) | (0.003) | (0.003) | (0.003) | |||||
Ln(cases) × Face-to-Face | 0.001 | 0.002 | 0.001 | 0.001 | ||||||
(0.002) | (0.002) | (0.001) | (0.001) | |||||||
Ln(cases) × Remote | −0.003*** | −0.002** | −0.003 | −0.002 | ||||||
(0.001) | (0.001) | (0.002) | (0.002) | |||||||
Ln(cases) × Essential | 0.000 | −0.001 | 0.003* | 0.003 | ||||||
(0.003) | (0.003) | (0.002) | (0.002) | |||||||
Fem × Child-U6 | 0.039*** | 0.038*** | 0.038*** | 0.039*** | 0.037*** | 0.035*** | 0.034*** | 0.034*** | 0.034*** | 0.034*** |
(0.008) | (0.008) | (0.008) | (0.008) | (0.008) | (0.005) | (0.005) | (0.005) | (0.005) | (0.006) | |
Child under 6 | 0.000 | 0.000 | 0.000 | −0.000 | 0.001 | −0.001 | −0.001 | −0.001 | −0.001 | −0.001 |
(0.006) | (0.006) | (0.006) | (0.006) | (0.006) | (0.003) | (0.003) | (0.003) | (0.003) | (0.003) | |
Female | 0.009** | 0.010** | 0.010** | 0.010** | 0.002 | 0.010*** | 0.012*** | 0.012*** | 0.012*** | 0.008** |
(0.004) | (0.004) | (0.004) | (0.004) | (0.004) | (0.003) | (0.003) | (0.003) | (0.004) | (0.003) | |
Black | 0.004 | 0.004 | 0.004 | 0.004 | 0.006 | 0.004 | 0.004 | 0.004 | 0.004 | 0.006 |
(0.005) | (0.005) | (0.005) | (0.006) | (0.005) | (0.005) | (0.005) | (0.005) | (0.005) | (0.005) | |
Hispanic | −0.007 | −0.007 | −0.007 | −0.007 | −0.008 | −0.004 | −0.004 | −0.004 | −0.004 | −0.003 |
(0.010) | (0.010) | (0.010) | (0.010) | (0.009) | (0.005) | (0.005) | (0.005) | (0.005) | (0.004) | |
Age | 0.025 | 0.078 | 0.098 | 0.094 | 0.110 | −0.012 | 0.044 | 0.051 | 0.049 | −0.010 |
(0.092) | (0.115) | (0.116) | (0.116) | (0.108) | (0.074) | (0.104) | (0.104) | (0.104) | (0.091) | |
Age2 | 0.039 | −0.043 | −0.069 | −0.065 | −0.079 | 0.070 | −0.017 | −0.026 | −0.026 | 0.052 |
(0.107) | (0.151) | (0.152) | (0.152) | (0.147) | (0.078) | (0.131) | (0.132) | (0.133) | (0.115) | |
HS | 0.005 | 0.004 | 0.004 | 0.004 | 0.009 | −0.005 | −0.005 | −0.005 | −0.005 | −0.004 |
(0.008) | (0.008) | (0.008) | (0.008) | (0.009) | (0.008) | (0.008) | (0.008) | (0.008) | (0.008) | |
Some College | −0.006 | −0.006 | −0.006 | −0.006 | 0.001 | 0.004 | 0.004 | 0.004 | 0.004 | 0.004 |
(0.010) | (0.010) | (0.010) | (0.010) | (0.010) | (0.008) | (0.008) | (0.008) | (0.009) | (0.008) | |
BA Degree | −0.030*** | −0.030*** | −0.030*** | −0.030*** | −0.015 | −0.013 | −0.013 | −0.013 | −0.013 | −0.008 |
(0.010) | (0.010) | (0.010) | (0.010) | (0.011) | (0.008) | (0.008) | (0.008) | (0.009) | (0.007) | |
Postgraduate Degree | −0.050*** | −0.050*** | −0.051*** | −0.050*** | −0.026** | −0.029*** | −0.029*** | −0.029*** | −0.029*** | −0.015** |
(0.011) | (0.011) | (0.011) | (0.011) | (0.012) | (0.009) | (0.009) | (0.009) | (0.009) | (0.006) | |
Metropolitan | −0.009 | −0.009 | −0.009 | −0.008 | −0.003 | −0.003 | −0.003 | −0.003 | −0.003 | 0.002 |
(0.008) | (0.008) | (0.008) | (0.008) | (0.008) | (0.005) | (0.005) | (0.005) | (0.005) | (0.005) | |
Constant | 0.098*** | 0.091*** | 0.088*** | 0.088*** | 0.052** | 0.061*** | 0.054*** | 0.053*** | 0.053*** | 0.022 |
(0.020) | (0.019) | (0.020) | (0.020) | (0.030) | (0.015) | (0.019) | (0.018) | (0.018) | (0.019) | |
| ||||||||||
State f.e. | X | X | X | X | X | X | X | X | X | X |
Occupation & Industries f.e. | X | X | ||||||||
| ||||||||||
Observations | 43754 | 43754 | 43754 | 43754 | 43754 | 42432 | 42432 | 42432 | 42432 | 42432 |
R 2 | 0.023 | 0.023 | 0.023 | 0.023 | 0.074 | 0.016 | 0.016 | 0.016 | 0.016 | 0.062 |
Notes: Coefficients for Equation 1 using April 2020 CPS Data for individuals on the labor force and with recent unemployment as dependent variable. Column (1) includes socio-demographic and job tasks’ characteristics. Column (2) adds COVID-19 mortality factor (Risk) and state COVID-19 exposure. Column (3) and (4) interacts the risk factor and states’ COVID-19 exposure with occupation characteristics. Finally, (5) adds states, occupation and industries fixed effects. Standard errors from multi-way clustering at the state and occupation level in parentheses. Statistical significance level:
p<0.1;
p<0.05;
p<0.01