Study on poverty-causing factors of relative poverty in Jilin Province-Empirical analysis based on binary logit model

Based on the binary logit model using the data of urban elderly population in Jilin Province, this paper conducted an empirical analysis on the relative poverty-causing factors of urban elderly from the macro and micro levels. The paper shows the correlation between poverty-causing factors and relative poverty by chi-squared tests and the model fit effect based on the Hosmer and Lemeshow tests and logarithmic likelihood. Then, the logit regression estimation was used to explore the poverty-causing factors of relative poverty of urban elderly, and conduct stability test under the introduction of control variables. Through data analysis, the paper provides feasible suggestions for the Jilin Provincial government to alleviate the relative poverty of the urban elderly.