Table A14:
Log Ethanol Sales (Not seasonally adjusted)
| (1) Main |
(2) Donut |
(3) Synth |
(4) Synth-Donut |
|
|---|---|---|---|---|
| Treatjt | 0.004 | 0.005 | −0.017*** | −0.018*** |
| Cluster SEs | (0.010) | (0.010) | - | - |
| Donald-Lang SEs | (0.011) | (0.011) | (0.006) | (0.005) |
| DL - Newey - West SEs | (0.017) | (0.017) | (0.008) | (0.007) |
| Observations | 879,270 | 845,774 | 210 | 202 |
| R-squared | 0.934 | 0.934 | 0.043 | 0.056 |
| Store-Fixed-Effects | Yes | Yes | No | No |
| Year-Month-Fixed-Effects | Yes | Yes | No | No |
| Seasonal Adj. | No | No | No | No |
Notes: The dependent variable is the natural logarithm of total ethanol sales (in gallons) 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), 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.