Table 3.
Wine frequency and intensity demand equation estimates, males
| All drinkers | Binge drinkers | |||
|---|---|---|---|---|
| Frequency | Intensity | Frequency | Intensity | |
| Linear time trend | −0.02*** | −0.01*** | 0.04** | −0.01 |
| (0.01) | (0.00) | (0.02) | (0.01) | |
| Alcohol duty change 08 | −0.01 | 0.02* | 0.03 | 0.01 |
| (0.02) | (0.01) | (0.06) | (0.02) | |
| INCOME1 (reference) | ||||
| INCOME2 | 0.05 | 0.00 | −0.27** | −0.03 |
| (0.05) | (0.03) | (0.14) | (0.07) | |
| INCOME3 | 0.29*** | 0.03 | −0.52** | −0.02 |
| (0.06) | (0.03) | (0.23) | (0.12) | |
| INCOME4 | 0.52*** | 0.04 | −0.83** | −0.01 |
| (0.08) | (0.05) | (0.39) | (0.20) | |
| INCOME5 | 0.82*** | 0.05 | −0.96* | 0.01 |
| (0.11) | (0.06) | (0.51) | (0.26) | |
| INCOME6 | 1.06*** | 0.05 | −0.81 | 0.02 |
| (0.12) | (0.07) | (0.52) | (0.27) | |
| COMPULSORY SCHOOL (reference) | ||||
| COLLEGE | 0.65*** | −0.00 | −0.14 | 0.08 |
| (0.06) | (0.04) | (0.21) | (0.11) | |
| UNIVERSITY | 0.96*** | −0.04 | 1.37*** | 0.11 |
| (0.05) | (0.03) | (0.28) | (0.14) | |
| LNAGE | 0.14*** | −0.14*** | 0.74*** | −0.12 |
| (0.02) | (0.01) | (0.26) | (0.14) | |
| EMP (reference) | ||||
| INACTIVE | 0.08* | 0.08*** | −0.10 | 0.08** |
| (0.04) | (0.02) | (0.09) | (0.04) | |
| UNEMP | 0.42*** | −0.04 | −0.06 | −0.03 |
| (0.06) | (0.03) | (0.11) | (0.05) | |
| STUDENT | 0.28*** | −0.07*** | 0.18*** | −0.08*** |
| (0.03) | (0.02) | (0.03) | (0.01) | |
| COHABIT | −0.11*** | 0.03 | 0.30* | 0.01 |
| (0.03) | (0.02) | (0.16) | (0.08) | |
| IMR | 1.04*** | −0.07 | −2.08** | 0.14 |
| (0.17) | (0.10) | (0.92) | (0.48) | |
| CONSTANT | −3.98*** | 1.58*** | −0.95** | 0.94*** |
| (0.41) | (0.24) | (0.42) | (0.21) | |
| Participation observations | 59,251 | 59,251 | 59,251 | 59,251 |
| Freq/intens observations | 31,925 | 31,925 | 14,414 | 14,414 |
| Proportion drink/binge | 54 % | 54 % | 24 % | 24 % |
Results are conditional on wine drinking participation. Reference categories are income <10,000 sek, compulsory schooling, employed, and living alone. Alcohol duty change is a dummy set to one after January 1st 2008 when there was a change in beer and wine excise duties. Month dummies to capture resampling effects and seasonality and regional dummies are included in all models (reference categories: Stockholm and January). Testing the null of no effect: *** p < 0.01; ** p < 0.05; * p < 0.1