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. Author manuscript; available in PMC: 2023 Jan 13.
Published in final edited form as: Am Econ J Appl Econ. 2022 Jan;14(1):164–196. doi: 10.1257/app.20180168

Table 4—

Effect of Subway Openings in High AOD Cities

(1) (2) (3) (4) (5) (6)

Post −0.0290 (0.0207) −0.0246 (0.0212) −0.0246 (0.0147) −0.0272 (0.0146) −0.0270 (0.0147) −0.0284 (0.0130)
Satellite N Y Y Y Y Y
Cont. × year N Y Y Y Y Y
City × cal. mo. N N Y Y Y Y
Climate × cont. N N N N Y Y
Mean AOD 0.66 0.66 0.66 0.66 0.66 0.43
Bootstrap p-value 0.174 0.252 0.111 0.078 0.083 0.049
R 2 0.34 0.35 0.65 0.66 0.66 0.75
Number of events 29 29 29 29 29 29
Number of cities 29 29 29 29 29 490
Observations 10,896 10,896 10,896 10,896 10,896 183,548

Notes: Dependent variable is mean AOD in a 10km disk with centroid in the city center. Column 6 includes all non-subway cities. All specifications control for city fixed effects, city-specific pre-window indicators, city-specific post-window indicators, and city-specific period-0 indicators. Climate controls are pixel count and linear and quadratic terms in temperature, precipitation, cloud cover, vapor pressure, and frost days. Standard errors clustered at the city level are in parentheses.