Title :
A research on determinants of floating women´s income with Bayesian Networks
Author :
Yingyu Ge ; Chunping Li
Author_Institution :
Sch. of Bus., Hohai Univ., Changzhou, China
Abstract :
Based on the survey of floating women in Jiangsu province, the article establishes a directed acyclic graph of factors influence income of floating women by using Bayesian Networks. The result indicates that not all the individual characteristics have a direct effect on 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 job. And different jobs offer different salary. So age, domicile, education level, and marital status have indirect influence on income through the job of floating women.
Keywords :
age issues; belief networks; demography; directed graphs; human factors; salaries; Bayesian Networks; Jiangsu province; age factor; direct impact; directed acyclic graph; domicile; education level; floating women; influential factors; marital status; Bayesian methods; Educational institutions; Industries; Registers; Sociology; Statistics;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463328