Table 12 Interaction term regression results.
From: The impact of social media usage frequency on air travel behavior: an empirical analysis from China
(1) | (2) | (3) | (4) | |
|---|---|---|---|---|
Air | Air | Air | Air | |
Video | 1.165*** | 0.905*** | 1.137*** | 1.077*** |
(13.994) | (10.690) | (12.253) | (6.787) | |
Age | 0.155*** | 0.137*** | 0.138*** | 0.146*** |
(10.659) | (16.446) | (16.532) | (9.489) | |
Health | -0.888*** | -0.926*** | -0.889*** | -0.924*** |
(-73.233) | (-39.666) | (-73.289) | (-36.940) | |
Mar | -0.373*** | -0.373*** | -0.373*** | -0.374*** |
(-10.237) | (-10.253) | (-10.242) | (-10.253) | |
Hukou | 3.888*** | 3.895*** | 3.882*** | 3.895*** |
(68.397) | (68.071) | (68.487) | (68.063) | |
Edu | 5.452*** | 5.458*** | 5.446*** | 5.460*** |
(27.866) | (27.876) | (27.848) | (27.882) | |
Gen | -0.072*** | -0.072*** | -0.072*** | -0.072*** |
(-2.989) | (-2.996) | (-2.975) | (-2.996) | |
Inc | -0.052*** | -0.052*** | -0.033 | -0.028 |
(-4.645) | (-4.639) | (-1.447) | (-1.191) | |
Video_Age | -0.023 | -0.012 | ||
(-1.421) | (-0.698) | |||
Video_Health | 0.049* | 0.046 | ||
(1.875) | (1.631) | |||
Video_Inc | -0.024 | -0.031 | ||
(-0.935) | (-1.173) | |||
_cons | 1.593*** | 1.792*** | 1.614*** | 1.661*** |
(17.133) | (18.987) | (16.473) | (11.915) | |
N | 54002 | 54002 | 54002 | 54002 |
