Table 9.
(1) | (2) | (3) | |
---|---|---|---|
Lockdown | -7.107⋆⋆⋆ | -7.453⋆⋆⋆ | -7.741⋆⋆⋆ |
(2.676) | (2.717) | (2.789) | |
Participation rate, % | -0.512 | -0.445 | |
(0.419) | (0.443) | ||
Population 2019, log | -0.376 | -0.413 | |
(1.367) | (1.462) | ||
Residents < 19 years | 0.149 | -0.245 | |
(0.690) | (0.744) | ||
Residents > 65 years | 0.530 | 0.453 | |
(0.508) | (0.545) | ||
Surface squared km, log | -1.325 | -1.102 | |
(1.898) | (1.965) | ||
Altitude metres, log | -0.069 | -0.069 | |
(1.777) | (1.810) | ||
Tourism index | 0.045 | 0.041 | |
(0.676) | (0.723) | ||
Excess mortality rate, Jan-Feb | 0.722 | ||
(1.213) | |||
Observations | 606 | 602 | 538 |
R-squared | 0.144 | 0.177 | 0.191 |
F-stat | 7.052 | 3.717 | 3.230 |
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 March 9 relative to January 13-February 16 at the level of municipalities. All specifications include LLMA fixed effects. ⋆⋆⋆ p < 0.01