COVID-19 outbreak | −1.729*** | −0.984*** | −2.019*** |
Age (base=20s) | | | |
30s (30~39) | 0.265 | 0.419* | 0.265 |
40s (40~49) | 0.135 | 0.397 | 0.133 |
50s (50~59) | 0.272 | 0.589** | 0.272 |
60s (60~69) | 0.677*** | 0.964*** | 0.679*** |
Age*COVID-19 | | | |
30s (30~39) | | -0.532 | |
40s (40~49) | | -0.902** | |
50s (50~59) | | -1.132*** | |
60s (60~69) | | -0.978** | |
Gender (male=1) | −0.100 | −0.099 | −0.100 |
Children (with children=1) | 0.573*** | 0.578*** | 0.576*** |
Job (office job=1) | 0.116 | 0.116 | 0.117 |
Education (base=not enrolled in university) | | | |
Enrolled in or graduated from university | 0.242 | 0.248 | 0.241 |
Enrolled in or graduated from graduate school | −0.140 | −0.137 | −0.140 |
Income (base=under 2 million KRW) | | | |
2~4 million KRW | 1.206*** | 1.203*** | 1.207*** |
4~6 million KRW | 1.346*** | 1.344*** | 1.348*** |
6~8 million KRW | 1.079*** | 1.075*** | 1.077*** |
More than 8 million KRW | 0.916*** | 0.910*** | 0.917*** |
Residential area (in Seoul Metropolitan area=1) | 0.217* | 0.217* | 0.071 |
Residential area*COVID-19 | | | 0.531** |
Importance of forest (base=not important) | | | |
Slightly important | 0.934*** | 0.930*** | 0.932*** |
Important | 1.278*** | 1.275*** | 1.277*** |
Very important | 1.284*** | 1.282*** | 1.284*** |
Constant | −3.536*** | −3.756*** | −3.463*** |
Obs. | 2000 | 2000 | 2000 |
LR chi2 (prob > chi2) | 308.07 (0.000) | 316.60 (0.000) | 312.07 (0.000) |
Pseudo R2 | 0.148 | 0.152 | 0.150 |
Log likelihood | −889.563 | −885.298 | −887.560 |