TABLE 6.

Estimation results of the binomial logit and Poisson regression models (n = 5,438).

Dependent variables	M1-0 Luxury			M1-1 Luxury			M2-0 Daily			M2-1 Daily			M3-0 Total			M3-1 Total
Model	Logit			Logit			Logit			Logit			Poisson			Poisson
	Est	SE		Est	SE		Est	SE		Est	SE		Est	SE		Est	SE
(Intercept)	–0.477	0.330		–0.477	0.330		5.818	0.593	***	5.840	0.595	***	1.217	0.062	***	1.205	0.062	***
County culture
UAI	0.063	0.035	+	–0.016	0.074		0.196	0.065	**	0.020	0.106		0.040	0.007	***	0.028	0.016	+
IDV													–0.071	0.007	***	–0.048	0.013	***
Travel Companion
Companion	0.548	0.084	***	0.541	0.084	***	1.133	0.129	***	1.149	0.130	***	0.173	0.017	***	0.179	0.018	***
Control variables
Consumption per day	0.031	0.019	+	0.032	0.019	+	0.025	0.032		0.029	0.032		0.017	0.004	***	0.017	0.004	***
Age	0.092	0.087		0.091	0.087		–1.479	0.154	***	–1.494	0.155	***	–0.074	0.016	***	–0.073	0.016	***
Gender	–0.059	0.069		–0.056	0.069		0.372	0.121	**	0.377	0.122	**	–0.047	0.013	***	–0.046	0.013	***
First trip	0.108	0.102		0.115	0.102		–0.327	0.157	*	–0.301	0.158	+	–0.080	0.020	***	–0.079	0.020	***
Package	–0.067	0.070		–0.067	0.070		–0.439	0.127	***	–0.441	0.127	***	–0.027	0.013	*	–0.027	0.013	*
Stay nights	0.268	0.020	***	0.268	0.020	***	0.315	0.037	***	0.318	0.037	***	0.099	0.003	***	0.099	0.003	***
Interactions
UAI*Companion				0.101	0.083					0.275	0.133	*				0.015	0.017
IDV*Companion																–0.031	0.016	*
AIC	5418.3			5418.8			2207.9			2205.7			24578.4			24577.4

UAI, uncertainty avoidance; IDV, individualism/Collectivism; Est, estimates; SE, standard error.

+p < 0.1, *p < 0.05, **p < 0.01, ***p < 0.001.