| |
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
