Health, Wellness and Tourism: healthy tourists, healthy business ...

Since the TSTAR database does not have the detail of data that we previously used in our
model, in the case of the variable for economic activity we applied the following aggregation:
TSTAR categories TUS categories
Employed → Pensioner, also active wage earner
Unemployment → Unemployment benefit
Pensioner → Pensioner, disabled pensioner
Inactive wage earner → Maternity leave, social benefit
Dependent → Housewife, other dependents, other inactive
Student → Students, children under school age
Since settlement characteristics did not play a major role in explaining happiness, the only
indicators we used in the following model (Table 4) were socio-demographic.
Table 4. Results of the regression model
Sig. Exp(B)
Age group, Reference category: 60 years
and older
15-29 years 0.011 1.815
30-39 years 0.583 0.897
40-59 years 0.013 0.705
Marital status. reference category: single
Married 0.000 3.316
Widowed 0.171 1.287
Divorced 0.485 0.877
Education, Reference category: school,
apprenticeship, without graduation
Elementary School: 8 or less classes 0.083
completed
0.759
Elementary School, 8 classes completed 0.146 0.834
Baccalaureate 0.000 1.763
Baccalaureate & postsec. 0.011 1.978
Degree 0.000 2.433
Economic activity, Reference category:
active wage earner
Unemployed 0.000 0.322
Pensioner 0.000 0.455
Inactive wage earner 0.003 0.490
Dependent 0.030 0.594
Student 0.003 2.300
Constant 0.000 4.107