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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 A5:

Regression Results - Spirits 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 −2.681*** −2.629** −2.647** −2.617** −2.547** −2.474* −2.889** −2.924***
Cluster SEs (1.212) (1.253) - - (1.212) (1.253) - -
Donald-Lang SEs (1.506) (1.482) (1.172) (1.127) (1.923) (1.871) (1.148) (1.094)
DL - Newey - West SEs (1.584) (1.492) (1.671) (1.634) (2.814) (2.718) (1.680) (1.640)
Observations 903,840 869,408 210 202 903,840 869,408 210 202
R-squared 0.920 0.919 0.024 0.026 0.921 0.920 0.030 0.034
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: The dependent variable are total sprits 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.

***/**/*

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