Ting-Tin Tin

Fair Graduate Employment Prediction for Chinese Universities: DML Assisted Stratified Panel XGBoost with Time Varying Loss

The existing employment-prediction models overlook key challenges including panel-data endogeneity, cross-tier prediction unfairness, and year-on-year temporal distribution drift. To address these issues, this study proposes a novel deconfounded and fair employment-prediction framework, built upon panel stratification...