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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 2—

Average Effect of Subway Openings

(1) (2) (3) (4) (5) (6) (7)

Post −0.0128 (0.0115) −0.0081 (0.0123) −0.0088 (0.0089) −0.0094 (0.0090) −0.0094 (0.0090) −0.0092 (0.0079) 0.0021 (0.0151)
Post × t −0.0012 (0.0014)
Satellite N Y Y Y Y Y Y
Cont. × year N Y Y Y Y Y Y
City × cal. mo. N N Y Y Y Y Y
Climate N N N Y N N N
Climate × cont. N N N N Y Y Y
City trend N N N N N N Y
Mean AOD 0.46 0.46 0.46 0.46 0.46 0.42 0.46
R 2 0.61 0.62 0.80 0.80 0.80 0.76 0.80
Number of events 58 58 58 58 58 58 58
Number of cities 58 58 58 58 58 519 58
Observations 21,806 21,806 21,806 21,806 21,806 194,458 21,806

Notes: Dependent variable is mean AOD in a 10-km disk with centroid in the city center. Column 6 adds 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.