Table 3.
Panel regressions of daily city-level RGI on lockdown and easing policies, COVID-19 cases and social economic attributes.
| Panel regression of RGI | |||
|---|---|---|---|
| Dependent variable | |||
| Recovery gap index (RGI) | |||
| Independent variable | (1)a | (2)b | (3)c |
| Age between 16 and 59 (labor force) | − 0.241** (0.010) | − 0.232** (0.009) | − 0.208** (0.011) |
| GDP | − 0.215*** (0.013) | − 0.298*** (0.014) | − 0.259*** (0.015) |
| Secondary sector | − 0.221*** (0.018) | − 0.266*** (0.017) | − 0.271*** (0.016) |
| Tertiary sector | − 0.196*** (0.020) | − 0.249*** (0.022) | − 0.246*** (0.021) |
| Income | − 0.286*** (0.019) | − 0.396*** (0.018) | − 0.384*** (0.017) |
| Resumption of work and production | − 0.286*** (0.033) | − 0.396*** (0.034) | − 0.384*** (0.035) |
| Reopening of gathering places | − 0.174** (0.046) | − 0.135** (0.047) | − 0.127** (0.048) |
| Lifting lockdown | − 0.016** (0.008) | − 0.013 (0.004) | − 0.008 (0.002) |
| Infected cases of COVID for each city | 0.113** (0.016) | 0.104** (0.017) | 0.008** (0.001) |
| Nationwide infected cases of COVID | 0.411*** (0.051) | 0.423*** (0.052) | 0.431*** (0.053) |
| Interaction term | |||
| Age between 16 and 59 (labor force) | N | − 0.031 (0.010) | − 0.023 (0.011) |
| GDP | N | 0.156** (0.012) | 0.162** (0.013) |
| Secondary sector | N | − 0.004*** (0.000) | − 0.002*** (0.000) |
| Tertiary sector | N | 0.273*** (0.016) | 0.249*** (0.017) |
| Income | N | 0.291*** (0.018) | 0.281*** (0.019) |
| City fixed effects | N | N | Y |
| 0.457 | 0.535 | 0.596 | |
The table shows point estimates of the regression coefficients for the distinct variables and interaction terms. Standard errors are clustered at the city level.
***p < 0.01; **p < 0.05.
aColumn(1) gives the basic panel regressions of daily city-level RGI on lockdown and easing policies, COVID-19 cases and socioeconomic variables.
bColumn(2) add a interaction term between socioeconomic variables with nationwide infected cases of COVID-19.
cColumn(3) controls for city fixed effects.