Motorcycle Ban and Traffic Safety: Evidence from a Quasi-Experiment at Zhejiang, China
Table 5
The effect of the motorcycle bans on traffic accidents.
(1)
(2)
(3)
(4)
(5)
(6)
174.4186∗
−199.9656∗∗∗
−131.4144∗∗∗
0.3852
−0.15
0.1284
(92.9615)
(43.3514)
(34.1162)
(0.3598)
(0.1532)
(0.2420)
266.2070∗∗∗
0.2654
(75.9064)
(0.5088)
−35.7707
−0.5261
(100.8729)
(2.0302)
−18.2751
0.4167
(57.5881)
(0.6762)
227.4016∗∗∗
0.7366
(57.4283)
(0.6774)
22.9828
−0.3879
(26.5765)
(0.3335)
37.3149
0.215
(27.7563)
(0.2288)
−57.0696
0.1579
(31.9788)
(0.3724)
2.6891
0.0941
(19.6725)
(0.1346)
Year FE
No
Yes
Yes
No
Yes
Yes
City FE
No
Yes
Yes
No
Yes
Yes
Obs.
198
198
176
158
158
147
R-squared
0.0924
0.9491
0.9747
0.0283
0.6391
0.6533
F
3.52
21.28
85.47
1.146
0.958
1.115
Note. (1) Columns (1)–(3) are the results of equation (2) with different regression methods and control variables, and columns (4)–(6) are the corresponding results of equation (3); (2) all standard errors are clustered at the city level; (3) ∗∗∗ denotes ,∗∗ denotes , and ∗ denotes .
