Table 3.
Alcohol beverage | Intercept (se) | Precision (se) |
---|---|---|
Beer prices | ||
(n = 172, R2 = 0.238) |
−1.425 (.217)* |
−0.172 (.045)* |
Beer income | ||
(n = 151, R2 = 0.272) |
1.266 (1.20) |
0.405 (.183)* |
Wine prices | ||
(n = 178, R2 = 0.230) |
−2.057 (.509)* |
−0.228 (.037)* |
Wine income | ||
(n = 155, R2 = 0.176) |
3.113 (.852)* |
0.388 (.183)* |
Spirits prices | ||
(n = 182, R2 = 0.353) |
−1.530 (.450)* |
−0.388 (.083)* |
Spirits income | ||
(n = 160, R2 = 0.459) |
2.299 (.640)* |
0.657 (.141)* |
Total alcohol prices | ||
(n = 105, R2 = 0.284) |
−1.830 (.917)* |
−0.316 (.135)* |
Total alcohol income | ||
(n = 77, R2 = 0.419) | 2.113 (.327)* | 0.322 (.068)* |
Asterisks indicate the robust t-statistic is greater than 2.0 in absolute value. Robust standard errors (se) in parentheses obtained using cluster options in Stata 12, adjusted for seven country groups. Country-level groups are: (1) Australia and New Zealand; (2) Canada; (3) Europe (Belgium, Cyprus, Czech Republic, France, Germany, Greece, Hungary, Italy, Netherlands, Poland, Portugal, Romania, Spain, Multiple); (4) Nordic (Denmark, Finland, Norway, Sweden); (5) United Kingdom and Ireland; (6) United States; and (7) Other (Chile, China, India, Japan, Kenya, Russia, Taiwan, Tanzania, Turkey).