Table 11.
Effect of lockdown on changes in mobility: placebo
| March 1 | March 30 | May 4 | |
|---|---|---|---|
| (1) | (2) | (3) | |
| Lockdown | -2.854 | -4.042 | 1.813 |
| (3.316) | (2.927) | (3.101) | |
| Participation rate, % | -0.035 | -0.354 | -0.740 |
| (0.502) | (0.445) | (0.474) | |
| Population 2019, log | -2.387 | -4.109⋆⋆⋆ | -5.203⋆⋆⋆ |
| (1.648) | (1.474) | (1.549) | |
| Residents < 19 years | -1.077 | -1.373⋆ | -0.979 |
| (0.799) | (0.724) | (0.780) | |
| Residents > 65 years | -1.136⋆ | -0.114 | -0.357 |
| (0.584) | (0.542) | (0.566) | |
| Surface squared km, log | 2.019 | 1.089 | 0.918 |
| (2.304) | (2.042) | (2.165) | |
| Altitude metres, log | 0.439 | 1.199 | 2.309 |
| (2.158) | (1.909) | (2.028) | |
| Tourism index | 0.420 | -0.154 | 0.206 |
| (0.810) | (0.726) | (0.762) | |
| Observations | 605 | 600 | 605 |
| R-squared | 0.151 | 0.187 | 0.192 |
| F-stat | 1.172 | 7.042 | 8.125 |
Notes: The sample includes the municipalities contiguous to the policy-change boundary within the same LLMA. The dependent variable is the variation in mobility on each date relative to January 13-February 16 at the level of municipalities. All specifications include region fixed effects. ⋆ p < 0.1; ⋆⋆⋆ p < 0.01