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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 6—

Spatial Decay of Effects of Subway Openings in High AOD Cities

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

Post −0.0270 (0.0147) −0.0284 (0.0130) −0.0219 (0.0141) −0.0272 (0.0110) −0.0137 (0.0151) −0.0172 (0.0111)
Satellite Y Y Y Y Y Y
Cont. × year Y Y Y Y Y Y
City × cal. mo. Y Y Y Y Y Y
Climate × cont. Y Y Y Y Y Y
Mean AOD 0.66 0.43 0.64 0.40 0.59 0.38
Bootstrap p-value 0.083 0.049 0.136 0.026 0.364 0.143
R 2 0.66 0.75 0.73 0.81 0.73 0.81
Number of events 29 29 29 29 29 29
Number of cities 29 490 29 490 29 490
Observations 10,896 183,548 10,896 183,446 10,893 183,427

Notes: Dependent variable is mean AOD. Columns 1 and 2 replicate columns 5 and 6 from Table 4 for reference. Dependent variable in columns 3 and 4 is AOD in a donut 10–25km from the city center. Columns 5 and 6 use AOD in a donut 25–50km from the city center. 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.