Table A10.1:
Cross-Sectional Models: Using data for 2019 - Recent Unemployment
Dependent = Recently Unemployed | ||||||
---|---|---|---|---|---|---|
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April - Mean = 0.0141 | May - Mean = 0.018 | |||||
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(1) | (2) | (3) | (1) | (2) | (3) | |
Face-to-Face | −0.001 | 0.003 | −0.002* | 0.007 | ||
(0.001) | (0.003) | (0.001) | (0.005) | |||
Remote Work | −0.005*** | −0.006 | −0.005*** | −0.014*** | ||
(0.001) | (0.005) | (0.001) | (0.005) | |||
Essential | −0.001 | 0.006 | −0.006** | −0.013 | ||
(0.003) | (0.010) | (0.002) | (0.016) | |||
Ln(COVID cases) x Face-to-Face | −0.000 | −0.001* | −0.001* | −0.001* | ||
(0.000) | (0.000) | (0.000) | (0.001) | |||
Ln(COVID cases) x Remote | 0.000 | 0.000 | 0.001** | 0.001** | ||
(0.001) | (0.001) | (0.000) | (0.001) | |||
Ln(COVID cases) x Essential | −0.001 | −0.001 | 0.001 | 0.001 | ||
(0.001) | (0.001) | (0.002) | (0.001) | |||
Fem x Child-U6 | 0.011 | 0.011 | 0.012* | 0.018*** | 0.018*** | 0.018*** |
(0.007) | (0.007) | (0.007) | (0.006) | (0.006) | (0.006) | |
Child under 6 | −0.003 | −0.003 | −0.003 | −0.006* | −0.007* | −0.006 |
(0.002) | (0.002) | (0.002) | (0.004) | (0.004) | (0.004) | |
Female | −0.003* | −0.003 | −0.003 | −0.003* | −0.003 | −0.001 |
(0.002) | (0.002) | (0.002) | (0.002) | (0.002) | (0.002) | |
Black | 0.012*** | 0.012*** | 0.011*** | 0.018*** | 0.018*** | 0.016*** |
(0.003) | (0.003) | (0.003) | (0.004) | (0.004) | (0.004) | |
Hispanic | −0.005* | −0.005* | −0.006** | 0.000 | 0.000 | −0.001 |
(0.003) | (0.003) | (0.003) | (0.003) | (0.003) | (0.003) | |
Age | −0.209*** | −0.209*** | −0.174*** | −0.354*** | −0.353*** | −0.303*** |
(0.050) | (0.050) | (0.045) | (0.054) | (0.054) | (0.048) | |
Age2 | 0.203*** | 0.203*** | 0.169*** | 0.367*** | 0.366 *** | 0.318*** |
(0.056) | (0.056) | (0.050) | (0.058) | (0.058) | (0.051) | |
HS | −0.015*** | −0.015*** | −0.011*** | −0.003 | −0.003 | −0.003 |
(0.003) | (0.003) | (0.004) | (0.003) | (0.003) | (0.004) | |
Some College | −0.013*** | −0.013*** | −0.009*** | −0.008** | −0.008** | −0.006 |
(0.002) | (0.002) | (0.003) | (0.004) | (0.004) | (0.004) | |
BA Degree | −0.017*** | −0.017*** | −0.012*** | −0.008** | −0.008** | −0.003 |
(0.003) | (0.003) | (0.004) | (0.004) | (0.004) | (0.004) | |
Posgraduate Degree | −0.018*** | −0.018*** | −0.010** | −0.011*** | −0.011*** | −0.003 |
(0.003) | (0.003) | (0.004) | (0.003) | (0.004) | (0.005) | |
Metropolitan | −0.000 | −0.000 | 0.000 | 0.002 | 0.002 | 0.003 |
(0.002) | (0.002) | (0.002) | (0.003) | (0.003) | (0.003) | |
Constant | 0.077*** | 0.077*** | 0.068*** | 0.103*** | 0.103*** | 0.078*** |
(0.010) | (0.010) | (0.012) | (0.014) | (0.014) | (0.014) | |
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State f.e. | X | X | X | X | X | X |
Occupation & Industries f.e. | X | X | ||||
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Observations | 40268 | 40268 | 40268 | 39630 | 39630 | 39630 |
R 2 | 0.011 | 0.011 | 0.041 | 0.012 | 0.013 | 0.043 |
Notes: Coefficients for Equation 1 using April (left panel) and May (right panel) 2019 CPS Data for individuals on the labor force and with recent unemployment as the dependent variable. Column (1) includes socio-demographic and job tasks’ characteristics. Column (2) adds the states’ epidemiological conditions as measured by their COVID-19 log exposure during the exact same month in 2020, interacted with occupation characteristics. Column (3) adds occupation and industries fixed effects. All models include state 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