This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools …

empirical findings. We used a transparent, easy‐to‐interpret machine learning algorithm leveraging practical application …

This paper develops new forecasting methods for an old and ongoing problem by employing 13 machine learning algorithms … reach peak performance through a lag structure. As measured through AUC, F1and Brier scores, top‐performing machine learning …

-related obstacles and to arrive at better predictions, we introduce machine learning algorithm class XGBoost to the estimation of …-school graduates to the enrolment in higher education institutions in Germany at the county-level. We show that machine learning … that machine learning methods can be transparent, interpretable, and explainable, when employed with adequate domain …