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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 5—

Long Run Effects of Subway Openings in High AOD Cities

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

Panel A
1–12 months post −0.0177 (0.0163) −0.0208 (0.0153) −0.0227 (0.0160) −0.0236 (0.0160) −0.0304 (0.0158) −0.0306 (0.0168)
13–24 months post −0.0184 (0.0153) −0.0224 (0.0130) −0.0253 (0.0169) −0.0279 (0.0141) −0.0209 (0.0167) −0.0242 (0.0150)
25–36 months post −0.0429 (0.0161) −0.0441 (0.0125) −0.0405 (0.0152) −0.0437 (0.0132)
37–48 months post −0.0333 (0.0195) −0.0416 (0.0167)
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 0.64 0.42 0.64 0.42 0.60 0.42
R 2 0.70 0.75 0.70 0.75 0.73 0.75
Number of events 27 27 24 24 21 21
Number of cities 27 488 24 485 21 482
Observations 10,169 18,2821 8,993 181,645 7,840 180,492
Panel B
Average post −0.0180 (0.0139) −0.0216 (0.0122) −0.0295 (0.0132) −0.0319 (0.0106) −0.0306 (0.0125) −0.0350 (0.0116)
Bootstrap p-value 0.213 0.095 0.030 0.008 0.025 0.008

Notes: Dependent variable is mean AOD in a 10km disk with centroid in the city center. Even-numbered columns include 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.