| ln(Pricesoda) | | ln(Pricecoffee) | | ln(Pricedailyspecial) | |
---|
| (1) | (2) | (3) | (4) | (5) | (6) |
---|
DDpost | –0.002 | 0.0003 | 0.007 | 0.008 | 0.003 | 0.003 |
| (0.009) | (0.009) | (0.008) | (0.009) | (0.006) | (0.006) |
δpost | 0.008 | 0.006 | –0.003 | –0.004 | 0.004 | 0.004 |
| (0.005) | (0.006) | (0.008) | (0.007) | (0.004) | (0.004) |
Controls | N | Y | N | Y | N | Y |
R 2 | 0.022 | 0.049 | 0.009 | 0.016 | 0.047 | 0.049 |
N restaurants | 94 | 94 | 94 | 94 | 91 | 91 |
- Notes: OLS regression coefficients reported. In columns (1) and (2), the outcome is the natural logarithm of the price of a 3dl soda. In columns (3) and (4), the outcome is the natural logarithm of the price of a coffee. In columns (5) and (6), the outcome is the natural logarithm of the price of the daily special. All specifications include restaurant and period fixed effects, and columns (2), (4), and (6) include control variables “Daily meals served (Mon-Thu)” and “Daily meals served (Fri-Sun).” Robust standard errors clustered at the restaurant level reported in parentheses. ∗,∗∗, and ∗∗∗ denote statistical significance at 10%, 5%, and 1%, respectively