Table 2. The impact of confirmed cases on the literacy of residents in traditional Chinese medicine.
Variable | Interpreted variable: Score | ||||||||
---|---|---|---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
Con*COVID | 3.458*** (1.145) | 4.441*** (1.111) | 4.482*** (1.115) | 7.040*** (1.011) | 6.949*** (1.009) | 4.624*** (1.077) | 4.857*** (1.078) | 4.926*** (1.079) | 4.882*** (1.079) |
COVID | 11.538*** (0.840) | 9.897*** (0.848) | 9.877*** (0.850) | 10.869*** (0.722) | 12.336*** (0.774) | 13.516*** (0.793) | 14.075*** (0.835) | 13.861*** (0.843) | 13.846*** (0.842) |
Con | 14.025*** (0.878) | 12.118*** (0.873) | 12.037*** (0.889) | 6.737*** (0.819) | 6.906*** (0.818) | 7.842*** (0.831) | 7.601*** (0.836) | 7.519*** (0.840) | 7.560*** (0.840) |
income | 0.000*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) | |
Occupation | 0.135 (0.176) | 0.563*** (0.153) | 0.477*** (0.153) | 0.455*** (0.153) | 0.468*** (0.153) | 0.453*** (0.153) | 0.461*** (0.153) | ||
Education | 6.324*** (0.199) | 6.198*** (0.202) | 5.957*** (0.204) | 5.931*** (0.204) | 6.025*** (0.211) | 5.972*** (0.214) | |||
Population | -0.933*** (0.164) | -0.628*** (0.168) | -0.601*** (0.168) | -0.538*** (0.171) | -0.545*** (0.170) | ||||
Han | 6.505*** (0.857) | 6.430*** (0.855) | 6.337*** (0.853) | 6.353*** (0.853) | |||||
Sick | -1.511** (0.592) | -1.256** (0.611) | -1.279** (0.611) | ||||||
Age | 0.042** (0.020) | 0.039 (0.020) | |||||||
Gender | -0.727 (0.498) | ||||||||
Constant | 37.956*** (0.615) | 35.122*** (0.694) | 34.312*** (1.327) | 18.592*** (1.170) | 21.172*** (1.254) | 14.784*** (1.503) | 15.372*** (1.520) | 13.117*** (1.874) | 14.438*** (2.091) |
Observation | 4016 | 4016 | 4016 | 4016 | 4016 | 4016 | 4016 | 4016 | 4016 |
R-squared | 0.246 | 0.289 | 0.289 | 0.432 | 0.435 | 0.443 | 0.445 | 0.445 | 0.445 |
Note: Robust standard errors in brackets, significant level
*p<0.10
**p<0.05
***p<0.01.