Table 3. Binary logistic regression on happiness of indigenous peoples (happy vs. unhappy) (N = 2,200).

Explanatory variables	Coef.	S.E.	M.E.	S.E.	P-value
Social exclusion (ref. excluded)
Medical benefits
no need	0.154	0.198	0.095	0.107	0.375
not excluded	0.295*	0.154	0.172	0.085	0.044
Housing benefits
no need	0.661***	0.201	0.334	0.105	0.002
not excluded	0.162	0.167	0.084	0.091	0.358
Child and youth benefits
no need	-0.192	0.166	-0.113	0.092	0.220
not excluded	0.008	0.170	0.007	0.093	0.943
Senior benefits
no need	-0.132	0.160	-0.077	0.088	0.378
not excluded	-0.409*	0.194	-0.248	0.107	0.021
Unemployment benefits
no need	0.136	0.161	0.076	0.089	0.396
not excluded	-0.220	0.208	-0.126	0.118	0.284
Financial assistances
no need	0.980***	0.195	0.512	0.098	<.0001
not excluded	0.052	0.248	0.019	0.139	0.892
Socio-demographic characteristics
Male (ref. female)	-0.387**	0.139	-0.223	0.077	0.004
Age under 55 years (ref. over 55)	-0.363*	0.162	-0.069	0.160	0.033
Education (ref. elementary or lower)
Junior high school	0.213	0.151	0.041	0.152	0.171
Senior high school	0.111	0.184	0.021	0.183	0.544
Vocational school	0.503**	0.162	0.098	0.160	0.001
College or higher	0.310*	0.171	0.062	0.170	0.477
Health status
Physical health status (ref. poor)	0.647***	0.156	0.358	0.082	<.0001
Mental problem (ref. none)	-1.398***	0.266	-0.717	0.126	<.0001
Other external factors
Household income	0.095**	0.032	0.047	0.016	0.054
Religion (ref. Buddhist or other)
Protestant	0.351*	0.155	0.213	0.085	0.013
Catholic	0.397*	0.179	0.231	0.099	0.019
Geographic Region (ref. plains area)
Remote mountain area	0.531***	0.152	0.104	0.154	0.001
Highlands area	0.274**	0.114	0.052	0.108	0.010
Intercept	1.816***	0.379	1.016	0.197	<.0001

*p<.05;

**p<.01;

***p<.001;

Coef. = coefficient; S.E. = standard error; M.E. = marginal effect;

Likelihood ratio of Chi-Square test = 241.19 (P-value<.001), reject Global Null Hypothesis (β = 0).