Study on the influencing factors of the well-being of rural residents in Jilin province based on Panel Data regression

Multinomial logistic regression is only for the cross-sectional data(In this study, we adopt the mean of three times surveys.), can not be integrated in the dynamic impact and change in different periods. The Panel Data regression takes into account the characteristics of the time series and cross-sectional data at the same time, and can explore original panel data at deeper level. Therefore, in this study, we use Panel Data regression model analyze influencing factors of the well-being of rural residents in Jilin province, and confirm with multi-logistic regression structure each other.