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. Author manuscript; available in PMC: 2022 Dec 1.
Published in final edited form as: J Public Econ. 2021 Nov 13;204:104520. doi: 10.1016/j.jpubeco.2021.104520

Table A15:

Regression Results - Beer Sales (Levels)

Seasonally Adjusted Not Seasonally Adjusted
(1)
Main
(2)
Donut
(3)
Synth
(4)
Synth-Donut
(5)
Main
(6)
Donut
(7)
Synth
(8)
Synth-Donut
Treatjt 50.549*** 51.250*** 15.021 13.081 55.143*** 56.343*** 60.790*** 59.732***
Cluster SEs (11.253) (11.350) - - (11.253) (11.350) - -
Donald-Lang SEs (25.409) (25.635) (22.265) (22.294) (34.246) (34.193) (15.223) (14.084)
DL - Newey - West SEs (25.082) (24.155) (26.635) (26.024) (51.941) (51.404) (20.659) (17.526)
Observations 879,270 845,774 210 202 879,270 845,774 210 202
R-squared 0.836 0.835 0.002 0.002 0.843 0.842 0.071 0.083
Store-Fixed-Effects Yes Yes No No Yes Yes No No
Year-Month-Fixed-Effects Yes Yes No No Yes Yes No No
Seasonal Adj. Yes Yes Yes Yes No No No No

Notes:Cluster Standard Errors: The dependent variable are total beer gallon sales in the store-week cell. Treatjt equals one for Illinois (treatment) stores from Sep 2009 on, and zero otherwise. Cluster SEs account for clustering at the state-level. Donald-Lang and DL-Newey-West: The dependent variable is the difference in the Illinois and the control states’ store-average, by week. Sample size is 210 weeks. Newey-West method adjusts for first-order autocorrelation with maximum lag set at 3 weeks. Donut-specifications leave out 8 weeks around policy change. In columns (3) and (4) as well as (7) and (8), the dependent variable is the difference between Illinois state aggregates and a synthetic control state aggregate.

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indicate statistical significance at the 1%/5%/10%-level.