TABLE 4.
(1) | (2) | (3) | |
---|---|---|---|
1 week after | 0.460*** | 0.466*** | 0.455*** |
(9.63) | (9.85) | (9.38) | |
2 weeks after | 0.496*** | 0.501*** | 0.486*** |
(13.83) | (13.86) | (12.86) | |
3 weeks after | 0.604*** | 0.609*** | 0.593*** |
(16.82) | (17.05) | (15.97) | |
4 weeks after | 0.649*** | 0.655*** | 0.638*** |
(14.09) | (14.20) | (13.19) | |
5 weeks after | 0.607*** | 0.614*** | 0.594*** |
(11.97) | (12.09) | (11.35) | |
6 weeks after | 0.497*** | 0.506*** | 0.484*** |
(9.79) | (9.96) | (9.32) | |
7 weeks after | 0.434*** | 0.445*** | 0.421*** |
(9.96) | (10.20) | (9.44) | |
8 weeks after | 0.358*** | 0.370*** | 0.344*** |
(10.64) | (11.02) | (9.78) | |
9 weeks after | 0.233*** | 0.245*** | 0.216*** |
(8.74) | (9.44) | (7.57) | |
10 weeks after | 0.070** | 0.081*** | 0.050* |
(2.64) | (3.23) | (1.82) | |
11 weeks after | 0.042 | 0.053* | 0.021 |
(1.54) | (1.96) | (0.74) | |
12 weeks after | 0.138*** | 0.150*** | 0.113*** |
(4.34) | (4.78) | (3.41) | |
13 weeks after | 0.210*** | 0.222*** | 0.183*** |
(6.36) | (7.02) | (5.37) | |
14 weeks after | 0.172*** | 0.185*** | 0.144*** |
(4.92) | (5.47) | (4.06) | |
15 weeks after | −0.032 | −0.025 | −0.071 |
(−0.85) | (−0.67) | (−1.70) | |
Treat | 0.253*** | 0.246*** | 0.263*** |
(6.92) | (6.59) | (6.92) | |
Constant | −0.216*** | −0.241*** | −0.249*** |
(−5.95) | (−11.75) | (−11.97) | |
Market FEs | Yes | Yes | Yes |
Week FEs | Yes | Yes | Yes |
Province×Treat | No | Yes | Yes |
Market×Time | No | No | Yes |
Observations | 8,370 | 8,370 | 8,370 |
R‐squared | 0.593 | 0.617 | 0.665 |
Control group | 2017Dec.‐2018Mar. & | 2017Dec.‐2018Mar. & | 2017Dec.‐2018Mar. & |
2018Dec.‐2019Mar. | 2018Dec.‐2019Mar. | 2018Dec.‐2019Mar. |
Notes: This table presents the week‐by‐week DID impact of the nationwide lockdown on Chinese cabbage price. Dummy I(Week i = 0) is excluded as the baseline group, which refers to the week from January 16 to January 22. The coefficients for week = −1 to week = −7 were not reported for the brevity of the table. Standard errors are clustered at province level and t statistics are in parentheses.
= p < 0.1.
= p < 0.05.
= p < 0.01.