HIGHLIGHTS
SUMMARY
The paper uses three machine_learning methods-artificial neural_network (ANN), random forest (RF), and XG-boost-to systematically identify the important factors; next, a logistic regression model is used to investigate the mechanisms of the factors that influence the willingness to have a second child. The third section introduces the machine_learning models that will be used in this paper and briefly describes the data sources and classifications; the fourth section introduces the data and methodology; the fifth section describes an empirical analysis in which the importance of different factors is analyzed by machine_learning and quantified . . .
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