Functional effects models: Accounting for preference heterogeneity in panel data with machine learning

Nicolas Salvadé, Tim Hillel

In this paper, we present a general specification for Functional Effects Models, which use Machine Learning (ML) methodologies to learn individual-specific preference parameters fr…