Table 5.
Estimation results for the metro ridership in Shanghai.
| Panel I: Full model (control for imported COVID-19 cases) |
Panel II: Restricted model (no control for imported COVID-19 cases) |
||||||||
|---|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | ||||||
| Variable | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | |
| Constant | −13.981*** | 5.355 | −13.589** | 5.594 | −12.857** | 5.302 | −12.912** | 5.534 | |
| COVID19cum14 | −0.112*** | 0.014 | n. a. | n. a. | −0.110*** | 0.014 | n. a. | n. a. | |
| COVID19 | n. a. | n. a. | −0.414** | 0.164 | n. a. | n. a. | −0.404** | 0.164 | |
| COVID19im | −0.151 | 0.109 | −0.092 | 0.114 | n. a. | n. a. | n. a. | n. a. | |
| LevelI | −54.895*** | 2.101 | −61.276*** | 2.044 | −55.038*** | 2.101 | −61.325*** | 2.044 | |
| LevelII | −31.336*** | 1.610 | −31.428*** | 1.681 | −31.744*** | 1.585 | −31.675*** | 1.654 | |
| GDPd | 0.100** | 0.049 | 0.089* | 0.051 | 0.084* | 0.048 | 0.079* | 0.050 | |
| Temperature | −0.182*** | 0.053 | −0.154*** | 0.055 | −0.175*** | 0.052 | −0.149*** | 0.055 | |
| Precipitation | −0.261*** | 0.031 | −0.262*** | 0.032 | −0.261*** | 0.031 | −0.262*** | 0.032 | |
| Weekend | −10.011*** | 0.849 | −9.817*** | 0.889 | −9.968*** | 0.850 | −9.795*** | 0.889 | |
| AIC | 4519 | 4571 | 4519 | 4570 | |||||
| BIC | 4563 | 4616 | 4559 | 4610 | |||||
| Observation | 609 | 609 | 609 | 609 | |||||
Note: ***, **, and * indicate statistical significance at the 1%, 5%, and 10% levels, respectively.