Stick buyer demographics
| Bangladesh | India | Kenya | Thailand | Zambia | |
| Gender | −0.17 (0.23) | 0.84 (0.69) | 0.04 (0.37) | 0.68‡ (0.21) | −0.18 (0.69) |
| Medium income | −0.17* (0.10) | −0.01 (0.14) | −0.60‡ (0.22) | −0.54‡ (0.14) | 0.60 (0.46) |
| High income | −0.22† (0.10) | −0.92‡ (0.17) | −1.27‡ (0.28) | −0.74‡ (0.14) | 0.34 (0.33) |
| Primary/lower secondary education | −0.07 (0.07) | −0.50† (0.23) | −0.03 (0.44) | −0.04 (0.19) | 1.18 (0.84) |
| Higher secondary/tertiary education | 0.06 (0.09) | −1.09‡ (0.23) | −0.30 (0.44) | −0.92‡ (0.25) | 1.10 (0.87) |
| Age at recruitment | −0.01‡ (0.00) | −0.02‡ (0.01) | −0.00(0.01) | −0.02‡ (0.00) | −0.04† (0.01) |
| N (obs) | 7731 | 2961 | 1389 | 5331 | 718 |
| N (individuals) | 3929 | 1828 | 1195 | 2292 | 651 |
| Waves | 4 | 3 | 2 | 6 | 2 |
Source: Random-effects logistic regressions based on International Tobacco Control data. The dependent variable is a dummy variable equal to 1 if a respondent last bought loose cigarettes and 0 if they bought a pack; income is an ordered categorical variable ranging from 1 (low) to 3 (high), with low income used as a benchmark for the coefficients; education is a categorical variable ranging from 1 (illiterate) to 3 (secondary or tertiary education), with illiterate used as a benchmark for the coefficients; gender is a dummy equal to 1 if the respondent is female. Age is indicated at the point of recruitment to the survey.
*Indicates significance at 10%.
†Indicates significance at 5%.
‡Indicates significance at 1%.