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. 2020 Dec 10;105:102401. doi: 10.1016/j.jeem.2020.102401

Table A6.

COVID-19 lockdowns and air pollution – Alternative functional forms.

Panel A: Satellite air pollution
Air quality:
Optimal bandwidth
Optimal bandwidth +10 days
Optimal bandwidth −10 days
NO2
(1)
(2)
(3)
(4)
(5)
(6)
Model 1: Cubic interaction model
Lockdown = 1 −0.487∗∗
(0.241)
0.377
(0.305)
−0.631∗∗∗
(0.220)
−0.571∗∗∗
(0.221)
−0.338
(0.264)
−0.294
(0.264)
Model 2: Quartic interaction model
Lockdown = 1 −1.058∗∗∗
(0.184)
−1.242∗∗∗
(0.233)
−1.193∗∗∗
(0.173)
−1.032∗∗∗
(0.173)
−0.939∗∗∗
(0.200)
−0.832∗∗∗
(0.200)
Model 3: Quintic interaction model
Lockdown = 1
−0.710∗∗∗
(0.217)
−0.191
(0.275)
−0.851∗∗∗
(0.199)
−0.754∗∗∗
(0.199)
−0.534∗∗
(0.239)
−0.469∗∗
(0.239)
Means before lockdowns 23.281 23.281 23.281 23.281 23.281 23.281
Controls No Yes No Yes No Yes
Country and time FE Yes Yes Yes Yes Yes Yes
Observations
260,007
257,339
303,316
300,266
216,917
214,775
Panel B: Station-based air pollution
Air quality:
Optimal bandwidth
Optimal bandwidth +10 days
Optimal bandwidth −10 days
PM2.5
(1)
(2)
(3)
(4)
(5)
(6)
Model 1: Cubic interaction model
Lockdown = 1 −1.155∗∗
(0.579)
−0.427
(0.621)
−1.883∗∗∗
(0.548)
−1.001∗
(0.592)
0.320
(0.620)
0.869
(0.659)
Model 2: Quartic interaction model
Lockdown = 1 −3.819∗∗∗
(0.436)
−2.021∗∗∗
(0.479)
−4.156∗∗∗
(0.411)
−2.233∗∗∗
(0.452)
−3.386∗∗∗
(0.463)
−1.573∗∗∗
(0.506)
Model 3: Quintic interaction model
Lockdown = 1
−2.236∗∗∗
(0.521)
−1.056∗
(0.565)
−2.875∗∗∗
(0.493)
−1.605∗∗∗
(0.538)
−0.695
(0.557)
0.451
(0.600)
Means before lockdowns 64.824 64.824 64.824 64.824 64.824 64.824
Controls No Yes No Yes No Yes
Country and time FE Yes Yes Yes Yes Yes Yes
Observations 90,938 79,200 100,869 89,117 80,962 69,238

Notes: ∗∗∗p < 0.01, ∗∗p < 0.05, ∗p < 0.1. Results of RDD using the optimal bandwidths based on Imbens and Kalyanaraman (2012). The optimal bandwidths are 62 and 88 days for satellite and station-based data, respectively. Clustered standard errors in parentheses are robust to within-day and within-country serial correlation. Control variables are daily temperature and rainfall (humidity for station-based data).