TABLE A5.
June–August 2019–2020 regression results by education group
| (1) | (2) | (3) | (4) | (5) | (6) | |
|---|---|---|---|---|---|---|
| No college | College educated | Difference (1)−(2) | No college | College educated | Difference (4)−(5) | |
| MSA Pop. 100−250 K × 2020 | −2.704* | 0.310 | −3.015 | −0.644 | 0.243 | −0.888 |
| (1.346) | (1.244) | (1.634) | (1.409) | (1.139) | (1.768) | |
| MSA Pop. 250−500 K × 2020 | −4.734** | −3.885** | −0.849 | −2.271 | −1.931 | −0.340 |
| (1.309) | (1.339) | (1.772) | (1.455) | (1.326) | (2.023) | |
| MSA Pop. 500 K−1 M × 2020 | −2.925** | −2.113* | −0.812 | 0.749 | −1.217 | 1.966 |
| (1.072) | (0.955) | (1.296) | (1.451) | (1.113) | (1.942) | |
| MSA Pop. 1–2.5 M × 2020 | −5.508** | −3.498** | −2.009 | 0.024 | −3.480** | 3.504 |
| (1.166) | (0.957) | (1.347) | (1.668) | (1.331) | (2.281) | |
| MSA Pop. 2.5−5 M × 2020 | −6.343** | −3.997** | −2.345 | 0.930 | −3.749* | 4.678 |
| (1.406) | (1.222) | (1.743) | (1.780) | (1.528) | (2.439) | |
| MSA Pop. 5 M+ × 2020 | −6.201** | −4.163** | −2.037 | −0.032 | −3.285* | 3.253 |
| (1.138) | (1.082) | (1.318) | (2.050) | (1.652) | (2.710) | |
| Year 2020 Dummy | −2.405** | −2.120** | −0.285 | |||
| (0.546) | (0.727) | (0.755) | ||||
| Ln COVID Case Rate March 2020 × 2020 | −0.288 | −0.816 | 0.528 | |||
| (0.597) | (0.495) | (0.750) | ||||
| Ln COVID Case Rate Current × 2020 | −1.218 | 0.584 | −1.802* | |||
| (0.656) | (0.454) | (0.750) | ||||
| % Occ. Can Work from Home × 2020 | −0.210 | 0.044 | −0.254 | |||
| (0.155) | (0.126) | (0.211) | ||||
| % Employed in Agriculture × 2020 | −0.236 | −0.028 | −0.208 | |||
| (0.170) | (0.152) | (0.251) | ||||
| % Employed in Mining × 2020 | −0.271 | 0.090 | −0.362 | |||
| (0.182) | (0.276) | (0.364) | ||||
| % Employed in Construction × 2020 | −0.008 | −0.200 | 0.192 | |||
| (0.234) | (0.224) | (0.315) | ||||
| % Emp. Wholesale/Retail × 2020 | 0.068 | 0.054 | 0.014 | |||
| (0.257) | (0.209) | (0.319) | ||||
| % Emp. Transportation/Utilities × 2020 | −0.467* | −0.013 | −0.455 | |||
| (0.223) | (0.183) | (0.293) | ||||
| % Emp. Professional Services × 2020 | −0.100 | 0.045 | −0.145 | |||
| (0.191) | (0.159) | (0.268) | ||||
| % Emp. Education/Health × 2020 | −0.002 | 0.001 | −0.003 | |||
| (0.137) | (0.103) | (0.180) | ||||
| % Emp. Leisure/Hospitality × 2020 | −0.508* | −0.270 | −0.238 | |||
| (0.225) | (0.205) | (0.235) | ||||
| % Employed in Other Services × 2020 | −0.166 | 0.195 | −0.361 | |||
| (0.465) | (0.379) | (0.620) | ||||
| % Emp. Public Administration × 2020 | 0.294 | −0.004 | 0.298 | |||
| (0.187) | (0.150) | (0.265) | ||||
| Local Area Fixed Effects | Yes | Yes | Yes | Yes | Yes | Yes |
| Indiv. Characteristics × Time Dummies | No | No | No | Yes | Yes | Yes |
| State × Time Dummies | No | No | No | Yes | Yes | Yes |
| F‐Test p‐Value for Industry Variables | 0.166 | 0.968 | 0.968 | |||
| R 2 | 0.019 | 0.014 | 0.038 | 0.248 | 0.235 | 0.258 |
| Observations | 192,498 | 289,834 | 482,332 | 192,498 | 289,834 | 482,332 |
The specification is otherwise similar to the main analysis except Columns 1 and 4 are limited to persons with no college education and Columns 2 and 5 are limited to persons with at least some college education. Columns 3 and 6 report the differences in coefficients between the two groups with standard errors estimated via pooled sample regression with a full set of interaction terms between a no college dummy and all other explanatory variables.
*
Significantly different from zero at 5% level
**
Significant at 1% level.