Table 3.
Name | Type | Values | Explanations |
---|---|---|---|
Price | Continuous | [0, 20000000] | |
Gender | Categorical | Female = 1, Male = 2 | |
Age | Continuous | [18, 94] | |
Education | Categorical | 1, 2, 3, 4 | It is in ascending order from Primary school to higher education (PhD) |
City | Categorical | Others = 1, Tehran = 2 | |
Income | Categorical | 1, 2, 3, 4, 5 | It is in ascending order, except 5 refers to no income |
Health Job | Categorical | 1, 2 | It is equal to 1 if respondent is working in the health sector |
Family size | Continuous | ||
COVID-19 virus risk | Continuous | [1, 5] | It is in ascending order and shows respondents perception of Covid-19 risk |
COVID-19 self-risk | Continuous | [1, 7] | It is in ascending order and shows respondents perception of Covid-19 infection risk to him/hers self |
COVID-19 family risk | Continuous | [1, 8] | It is in ascending order and shows respondents perception of Covid-19 infection risk to their family member |
Insurance | Categorical | 1, 2, 3 | It is in ascending order |