CAJ | 학술논문

基于江苏省流动妇女生存状况的实地调查,运用贝叶斯网络构造流动妇女收入影响因素的DAG图模型。与线性模型结果不同,流动妇女个体特征并不都直接影响月收入,其中年龄对教育程度和婚姻状况有直接影响,来源地对教育程度有直接影响,教育程度和婚姻状况对职业类型选择有直接影响,职业类型对月收入有直接影响,年龄、来源地、教育程度和婚姻状况对月收入有间接影响。
기우강소성류동부녀생존상황적실지조사,운용패협사망락구조류동부녀수입영향인소적DAG도모형。여선성모형결과불동,류동부녀개체특정병불도직접영향월수입,기중년령대교육정도화혼인상황유직접영향,래원지대교육정도유직접영향,교육정도화혼인상황대직업류형선택유직접영향,직업류형대월수입유직접영향,년령、래원지、교육정도화혼인상황대월수입유간접영향。
Based on the survey of floating women in Jiangsu province, the article establish a directed acyclic graph （DAG） of factors infuence income of floating women by using Bayesian Network. The result indicats that not all the individual characteristics have direct effect to the income. The relationships between income and individual characteristics are complicated. Age has a direct impact on education level and marital status. Domicile has a direct impact on education level. Educational level and marital status influence floating women＇ s selectiong of job. And different job offers different salary. So age, domicile, education level, and marital status have indirect impact on income through job.