Table 3.
Regression results for disadvantaged groups.
|
|
Dependent variable: TSGIa | |||||||
|
|
(4) | (5) | (6) | |||||
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|
Timelag_3 | P value | Timelag_3 | P value | Timelag_3 | P value | ||
| Policy | 2.390 | <.001 | 1.069 | .002 | 0.407 | .004 | ||
| Cases | −9.745 | .06 | −11.953 | .02 | –11.755 | .02 | ||
| Policy*lnElderly | −0.830 | <.001 | —b | — | — | — | ||
| Policy*Medicalcare | — | — | −0.000 | .004 | — | — | ||
| Policy*SMEsc | — | — | — | — | −0.020 | .009 | ||
| Control FEd | Yes |
|
Yes |
|
Yes |
|
||
| State FE | Yes |
|
Yes |
|
Yes |
|
||
| Day FE | Yes |
|
Yes |
|
Yes |
|
||
| Constant | 56.133 | <.001 | 56.132 | <.001 | 56.156 | <.001 | ||
| Observations | 5048 |
|
5048 |
|
5048 |
|
||
| R 2 | 0.828 |
|
0.827 |
|
0.827 |
|
||
aTSGI: Twitter sentiment geographical index.
bNot available.
cSME: small and medium enterprises.
dFE: fixed effect.