| | All crime | Assault & battery | Theft & property crime | Fraud | Drug crime & extortion | Homicides |
|---|
(1) | (2) | (3) | (4) | (5) | (6) |
|---|
Post x Lockdown | − 16.979*** | − 5.132*** | − 9.985*** | − 1.019*** | − 0.836*** | − 0.007 |
| | (1.191) | (0.350) | (0.867) | (0.206) | (0.294) | (0.070) |
Observations | 49,140 | 49,140 | 49,140 | 49,140 | 49,140 | 49,140 |
Adjusted R-sq | 0.93 | 0.77 | 0.93 | 0.79 | 0.89 | 0.49 |
Mean dependent | 87.12 | 20.11 | 53.83 | 4.87 | 5.42 | 2.89 |
Baseline FE | X | X | X | X | X | X |
Time Trends | X | X | X | X | X | X |
- Source: Mexico’s National Public Security System (Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública)
- Difference-in-differences estimates, which group the pre-period (before month 3) and post periods (month three onward). We include time trends in the difference-in-differences specification. Baseline fixed effects are included at the municipality, month, and year. Vertical lines show the start and end of the lockdown. The long-dashed red line shows the month before the start of the lockdown and the short-dashed green line indicates the end of the lockdown. Robust standard errors are clustered at the municipal level. Significance levels: *p < 0.1, **p < 0.05, ***p < 0.01 Crimes are measured per 100,000 persons. The specification is weighted by the municipal-level population
