Table 5.
Robustness tests of the impact of policy on TSGIa (disadvantaged groups).
|
|
Dependent variable: TSGI | ||||||||||||||||||||||||||||||||||
|
|
(15) | (16) | (17) | (18) | (19) | (20) | (21) | (22) | |||||||||||||||||||||||||||
|
|
Timelag_3 | P value | Timelag_7 | P value | Timelag_3 | P value | Timelag_3 | P value | Timelag_3 | P value | Timelag_7 | P value | Timelag_7 | P value | Timelag_7 | P value | |||||||||||||||||||
| Policy | 0.018 | .60 | 0.080 | .02 | 2.655 | <.001 | 1.309 | <.001 | 0.283 | .06 | 1.311 | .01 | 0.779 | .01 | 0.199 | .27 | |||||||||||||||||||
| lnDeaths | −0.091 | <.001 | −0.075 | .002 | −0.083 | .001 | −0.090 | <.001 | −0.087 | .001 | −0.076 | .002 | −0.079 | .001 | −0.072 | .002 | |||||||||||||||||||
| Policy*lnElderly |
|
|
|
|
−0.938 | <.001 |
|
|
|
|
−0.443 | .02 |
|
|
|
|
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| Policy*Medicalcare |
|
|
|
|
|
|
−0.001 | <.001 |
|
|
|
|
−0.001 | .02 |
|
|
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| Policy*SMEsb |
|
|
|
|
|
|
|
|
−0.015 | .05 |
|
|
|
|
−0.007 | .43 | |||||||||||||||||||
| Control FEc | Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
|||||||||||||||||||
| State FE | Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
|||||||||||||||||||
| Day FE | Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
|||||||||||||||||||
| Constant | 56.693 | <.001 | 58.277 | <.001 | 56.651 | <.001 | 56.684 | <.001 | 56.686 | <.001 | 58.270 | <.001 | 58.294 | <.001 | 58.266 | <.001 | |||||||||||||||||||
| Observations | 4537 |
|
4447 |
|
4537 |
|
4537 |
|
4537 |
|
4447 |
|
4447 |
|
4447 |
|
|||||||||||||||||||
| R 2 | 0.826 |
|
0.817 |
|
0.827 |
|
0.827 |
|
0.826 |
|
0.817 |
|
0.817 |
|
0.817 |
|
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aTSGI: Twitter sentiment geographical index.
bSME: small and medium enterprises.
cFE: fixed effect.