Table A4.
Dependent variable: Log of Crime Incidents |
||||
---|---|---|---|---|
Theft | Robbery | Simple Assault | Drugs | |
(1) | (2) | (3) | (4) | |
After*Treat | −0.651*** | −0.615*** | −0.490*** | −1.375*** |
(0.112) | (0.170) | (0.129) | (0.325) | |
After*Treat*200 m | 0.365** | 0.248 | 0.063 | 0.257 |
(0.144) | (0.265) | (0.154) | (0.488) | |
After*Treat*300 m | 0.395*** | 0.667** | −0.048 | −0.269 |
(0.142) | (0.274) | (0.159) | (0.384) | |
After*Treat*Remainder | 0.324*** | 0.462** | 0.044 | 0.139 |
(0.120) | (0.204) | (0.140) | (0.385) | |
Constant | 4.231*** | 2.287*** | 3.573*** | 2.585*** |
(0.042) | (0.080) | (0.046) | (0.086) | |
Observations | 264 | 264 | 264 | 264 |
Adjusted R2 | 0.943 | 0.839 | 0.957 | 0.823 |
Note: *p<0.1 **p<0.05 ***p<0.01. This table reports the change in Philadelphia crime incidents from the pandemic onset conditioning on proximity to bars/restaurants. Crimes are classified into regions of 0–100 m, 100–200 m, 200–300 m and >300 m from the nearest bar/restaurant. The change in crime incidents is then reported using a similar specification to the difference-in-difference in equation (1) but interacting After*Treat with a dummy for each region (After*Treat*100 m is excluded). Each column reports a separate regression. Observations range from 7 weeks before stay-at-home order to 4 weeks after; the same weeks of the year are used for all years. After = 1 beginning the week of the stay-at-home order and 0 otherwise; Treat = 1 for 2020 and 0 otherwise. All regressions include year and week fixed effects. Standard errors calculated by wild bootstrap. Data source: city police departments.