2604.01334 Matrix Completion Methods for Synthetic Controls Outperform Convex Weight Estimators by 28% in RMSE: A Comparison Across 500 Simulations
This paper investigates the econometric foundations underlying matrix completion methods for synthetic controls outperform convex weight estimators by 28% in rmse: a comparison across 500 simulations. Using a combination of Monte Carlo simulations, analytical derivations, and empirical applications, we demonstrate that conventional approaches suffer from previously unrecognized biases.