Table 5.

Logistic model: effort to buy cheaper cigarettes.

	Malaysia (n =1273)				Thailand (n =823)				Whole sample (n =2096) Parameter
	OR	95% CI	χ2	p	OR	95% CI	χ2	p	OR	95% CI	χ2	p
Residence
Urban (vs. rural)	0.73	0.38–1.40	0.92	0.338	1.74	0.68–4.48	1.33	0.248	0.79	0.42–1.49	0.54	0.463
Age*
18–24 (vs. 55+)	1.19	0.56–2.54	0.20	0.653	1.10	0.23–5.15	0.01	0.908	1.15	0.57–2.33	0.16	0.691
25–54 (vs. 55+)	1.05	0.59–1.87	0.03	0.861	0.62	0.19–2.07	0.60	0.440	1.00	0.59–1.69	0.00	0.991
Income**
Low (vs. high)	1.53	1.06–2.21	5.23	0.022	0.44	0.07–2.77	0.75	0.386	1.44	1.01–2.06	4.02	0.045
Moderate (vs. high)	0.89	0.57–1.39	0.26	0.610	0.40	0.11–1.54	1.77	0.183	0.81	0.52–1.26	0.87	0.350
Education
BSecondary (vs.]secondary)	1.14	0.88–1.47	0.99	0.321	0.38	0.15–0.93	4.50	0.034	1.02	0.78–1.33	0.02	0.894
Race
Major group (vs. other)	0.77	0.44–1.35	0.84	0.359	0.30	0.02–4.06	0.82	0.366	0.74	0.43–1.27	1.18	0.278
RYO
RYO (vs. FMC only)	0.98	0.46–2.08	0.00	0.966	4.87	1.62–14.66	7.91	0.005	1.22	0.68–2.18	0.44	0.508
Consumption
Per cigarette	0.98	0.95–1.01	2.10	0.147	0.97	0.92–1.03	0.87	0.352	0.98	0.96–1.01	2.56	0.109
Country
Thailand (vs. Malaysia)									0.12	0.07–0.20	63.28	< 0.001

^*Overall effect of age: Malaysia χ² =0.24, df=2, p =0.888. Thailand χ² =1.49, df=2, p =0.474. Whole sample χ² =0.33, df=2, p =0.847.

^**Overall effect of income: Malaysia χ² =5.85, df=2, p =0.054. Thailand χ² =2.22, df=2, p =0.330. Whole sample χ² =5.65, df=2, p =0.059.

Note: There are 177 missing observations for Malaysia and five missing observations for Thailand due to incomplete covariate data. Estimating the model with all observations while controlling for missing observations produces similar results. These results are available upon request.