Research Article
Study on the Influence of Female Labor Participation Rate Based on A Logistic Regression Model
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326793, author={Liangliang Ma and Xiaomeng Qu}, title={Study on the Influence of Female Labor Participation Rate Based on A Logistic Regression Model}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={family factors female labor participation rate employment}, doi={10.4108/eai.18-11-2022.2326793} }- Liangliang Ma
Xiaomeng Qu
Year: 2023
Study on the Influence of Female Labor Participation Rate Based on A Logistic Regression Model
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326793
Abstract
With the development of China's economy, China's female labor participation rate has maintained a high level for a long time, but this rate is decreasing. Through a questionnaire survey, statistical analysis and other methods, this paper analyzes the impact of family on women's labor participation rate, divides family factors into spouse's work nature and time, family support and family income, and constructs a logistic regression model. Through Stata data analysis, it is concluded that family factors have a significant impact on women's labor force participation rate. Therefore, in order to deal with the relationship between family and women's work, improve women's labor participation rate and let women actively obtain employment, some suggestions are put forward according to the influence of family factors.
