Modelling the Impact of Tourism on Mental Health of Chinese Residents: An Empirical Study
Table 2
The impact of Probit model on estimation result of sad mood based on cross-sectional data.
Variables
β
β
β
Lntravel (Ti)
−0.00481
−0.00218
−0.00179
(0.000570)
(0.000612)
(0.000619)
Lnmetotal (Mi)
0.00309
0.00299
(0.000385)
(0.000388)
Lnincome (Ii)
0.000371
0.000474
(0.000368)
(0.000368)
Exercise frequency (Ei)
−0.000651
−0.000629
(0.000404)
(0.000403)
Dependency ratio (Ri)
−0.00144
−0.00186
(0.00265)
(0.00261)
Employment (Xi)
−0.0161
−0.0172
(0.00336)
(0.00334)
Job nature (Xi)
0.0106
0.00684
(0.00287)
(0.00294)
Age (Xi)
0.00101
0.00106
(0.000588)
(0.000585)
Age 2
−0.000832
−0.000738
(0.000587)
(0.000582)
Ever-married (Xi)
−0.0117
−0.0113
(0.00554)
(0.00549)
Cohabitation (Xi)
0.00361
0.00329
(0.0162)
(0.0159)
Divorce (Xi)
0.0178
0.0189
(0.00880)
(0.00873)
Education (Xi)
−0.0120
−0.0109
(0.00127)
(0.00126)
Provincial effect (Xi)
No
No
Yes
Observations
24015
24015
24015
Note. Values included in the bracket represent the robust standard error. ,, and represent, respectively, the evident results in the levels of 10%, 5%, and 1%.