Table 14 Categorical regression results with object detection model 2 (dep. variable: normalized distance).
 | Model 2: Normalized distances | |||||||
---|---|---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
RF vs. RF | − 0.232*** | − 0.277*** | − 0.231*** | − 0.255*** | − 0.231*** | − 0.254*** | − 0.232*** | − 0.255*** |
RM vs. RM | − 0.184*** | − 0.229*** | − 0.209*** | − 0.232*** | − 0.215*** | − 0.238*** | − 0.212*** | − 0.240*** |
NRF vs. NRF | − 0.110*** | − 0.155*** | − 0.105*** | − 0.128*** | − 0.103*** | − 0.126*** | − 0.100*** | − 0.126*** |
NRM vs. NRM | 0.023*** | -0.022* | 0.021*** | -0.002 | 0.021*** | -0.002 | 0.022*** | -0.003 |
RF vs. RM | 0.042** | -0.003 | 0.034 | 0.011 | 0.03 | 0.008 | 0.029 | 0.006 |
NRF vs. NRM | 0.007*** | − 0.037*** | 0.006*** | -0.017 | 0.007*** | -0.017 | 0.009*** | -0.017 |
RF vs. NRF | − 0.119*** | − 0.163*** | − 0.115*** | − 0.139*** | − 0.114*** | − 0.137*** | − 0.113*** | − 0.138*** |
RM vs. NRM | 0.009 | − 0.036*** | − 0.008 | − 0.031** | − 0.01 | − 0.033** | − 0.011* | − 0.034*** |
RF vs. NRM |  | − 0.045*** | − 0.024** |  | − 0.023** |  | − 0.024** |  |
RM vs. NRF | 0.045*** | 0.023* | 0.023** | Â | 0.022* | Â | Â | Â |
Night | − 0.018*** | − 0.018*** |  |  | − 0.010*** | − 0.010*** |  |  |
Summer | − 0.010*** | − 0.010*** |  |  | − 0.008*** | − 0.008*** |  |  |
Ref.: RF vs. NRM | X | Â | X | Â | X | Â | X | Â |
Ref.: NRF vs. RM | Â | X | Â | X | Â | X | Â | X |
City (FE) | Â | Â | X | X | X | X | X | X |
District (FE) | Â | Â | Â | Â | X | X | X | X |
Night (FE) | X | X | Â | Â | Â | Â | X | X |
Summer (FE) | X | X | Â | Â | Â | Â | X | X |
Observations | 145,656 | 145,656 | 145,985 | 145,985 | 145,985 | 145,985 | 145,656 | 145,656 |
R2 | 0.099 | 0.099 | 0.118 | 0.118 | 0.124 | 0.124 | 0.124 | 0.124 |
Adjusted R2 | 0.098 | 0.098 | 0.117 | 0.117 | 0.123 | 0.123 | 0.123 | 0.123 |