Table 6.
Robustness tests of TSGIa on key features.
|
Dependent variable: TSGI | ||||||||||||||
|
(23) | (24) | (25) | (26) | (27) | (28) | |||||||||
|
Timelag_7 | P value | Timelag_7 | P value | Timelag_7 | P value | Timelag_7 | P value | Timelag_7 | P value | Timelag_7 | P value | |||
Policy | −0.152 | .17 | 2.579 | .05 | 0.342 | .001 | −1.719 | .06 | 0.049 | .23 | 1.292 | .009 | |||
lnDeaths | −0.071 | .003 | −0.075 | .002 | −0.072 | .003 | −0.073 | .002 | −0.077 | .001 | −0.070 | .004 | |||
Policy*lnHospitalbeds | 0.206 | .04 |
|
|
|
|
|
|
|
|
|
|
|||
Policy*lnIncome |
|
|
−0.239 | .05 |
|
|
|
|
|
|
|
|
|||
Policy*lnPopulation |
|
|
|
|
−0.054 | .002 |
|
|
|
|
|
|
|||
Policy*Sexratio |
|
|
|
|
|
|
0.019 | .05 |
|
|
|
|
|||
Policy*Homeless |
|
|
|
|
|
|
|
|
20.274 | .09 |
|
|
|||
Policy*Gini |
|
|
|
|
|
|
|
|
|
|
−2.602 | .01 | |||
Control FEb | Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
|||
State FE | Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
|||
Day FE | Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
Yes |
|
|||
Constant | 58.260 | <.001 | 58.289 | <.001 | 58.244 | <.001 | 58.249 | <.001 | 58.290 | <.001 | 58.235 | <.001 | |||
Observations | 4447 |
|
4447 |
|
4447 |
|
4447 |
|
4447 |
|
4447 |
|
|||
R 2 | 0.817 |
|
0.817 |
|
0.818 |
|
0.817 |
|
0.817 |
|
0.817 |
|
aTSGI: Twitter sentiment geographical index.
bFE: fixed effect.