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. 2022 Apr 18;35(4):1517–1550. doi: 10.1007/s00148-022-00891-4

Table 3.

Effect of localized lockdown on changes in mobility, March 9: robustness checks

Winsor 5% Trim 5% dM < 0 No centres No top 5% No bot 5% Contiguous
(1) (2) (3) (4) (5) (6) (7)
Lockdown − 5.982⋆⋆⋆ − 5.090⋆⋆⋆ − 9.718⋆⋆⋆ − 7.449⋆⋆⋆ − 7.545⋆⋆⋆ − 7.350⋆⋆⋆ − 5.442⋆⋆
(1.917) (1.616) (2.346) (2.839) (2.853) (2.628) (2.377)
Observations 602 544 574 569 570 571 266
R-squared 0.186 0.192 0.199 0.181 0.180 0.165 0.468
F-stat 2.187 1.837 2.918 3.550 3.523 2.556 2.375

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 and controls for participation rate in percentage, population size in 2019 (logs), percentage of residents aged 19 or under, percentage of residents aged 65 or over, surface size in squared kilometres (logs), altitude in metres (logs), and tourism index (0-5). ⋆⋆ p < 0.05; ⋆⋆⋆ p < 0.01