This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest, in the early warning system for debt group migration in a Vietnamese commercial bank. In predicting customers' overdue debt migration (B Score), the RF model...

We develop a tractable two-sector endogenous growth model in which heterogeneous entrepreneurs face borrowing constraints and the government collects tax to fund public eduction. This model is isomorphic to a Uzawa-Lucas model and there exists a balanced-growth path equilibrium in which the...