Skip to main content
. 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 8—

Ridership

(1) (2) (3) (4)

Post 36.8857 (5.3940) −0.0182 (0.0094) 0.0043 (0.0112) 0.0033 (0.0089)
Post × x −0.0439 (0.0163) −0.0411 (0.0164)
Satellite Y Y Y
Cont. × year Y Y Y
City × cal. mo. Y Y Y
Climate × cont. Y Y Y
Mean AOD 0.46 0.46 0.46
R 2 0.85 0.81 0.81 0.81
Number of events 42 42 42 42
Number of cities 42 42 42 42
Observations 8,415 15,863 15,863 15,863

Notes: column 1: Dependent variable is ridership per 1,000 people. Column 2: Dependent variable is mean AOD in a 10 km disk with centroid in the city center. Controls are as in Table 2 column 5, but restricted to sample with ridership data. Column 3: Same as column 2 but includes interaction of treatment with indicator for above median ridership per 1,000 people 12 m after opening. Column 4: Same as column 2 but includes interaction of treatment with indicator for above median ridership 12 m after opening. 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.