Prediction of transition probability from unemployment to employment in Argentina (2003-2019)

Despite their growing participation in the labor market, women who decide to go out and look for a job face greater difficulties obtaining it. The of force is considerably lower, even if entering market possibility actually finding also less than chance that men have doing so (CIPPEC, 2019). Being able predict probability occupational insertion women, inquire about factors influence this probability, essential order understand gender gaps helping improve design implementation public policies with perspective, final goal achieve equality opportunities. In framework, present work will seek transition from unemployment employment Argentina 2003 2019, using Permanent Household Survey, based on traditional prediction techniques Machine Learning, objective find most robust model achieves highest level accuracy.