Effect of socio-demographic characteristics on discounting
respiratory diseases
RESPIRATORY DISEASE, CORONAVIRUS, REGRESSION, DISEASE, DISEASES
Table The effect of socio-demographic characteristics on discounting.COVID-19, Coronavirus Disease 2019.Remarks: (1) ( ) depicts the standard error.(2) Tobit model, with the left-censored value at 0 and the right-censored value at 1.(3) *,**,*** denote statistically significant at the 0.01, 0.05, and 0.1 levels, respectively.Overall (Model I), several socio-demographic characteristics including generation X subjects (aged 42 years and above), children under the age of 15 in the household, and underlying diseases that are risk factors for COVID-19 and/or respiratory diseases, are positively related to discounting, while household income is negatively related. However, other variables such as marital status, education, occupation, and smoking had no effect on the discounting rate. The pooled regression reveals that discounting for money differed from discounting for health (p 0.024), confirming that discounting was domain-specific in our study.Household income and money-related scenario first presented to subjects were negatively related to discounting in Model II (money scenario). Being generation X subjects was positively related to discounting in Models III (health scenario), IV (COVID-19 situation), and V (air pollution situation). Moreover, in Model III (health scenario) and Model IV, the COVID-19 situation, children under the age of 15 in the household, and underlying diseases that are risk factors for COVID-19 and/or respiratory diseases were positively related to discounting, while household income was negatively related to discounting in Models III and V.