Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models

Facundo Argañaraz, Juan Carlos Escanciano

Developing robust inference for models with nonparametric Unobserved Heterogeneity (UH) is both important and challenging. We propose novel Debiased Machine Learning (DML) procedur…