Synthetic Control Methods (SCM) with Machine Learning (ML) and Traditional Econometrics

Synthetic Control Methods (SCM) with Machine Learning (ML) and traditional econometrics share the goal of causal inference, but they differ fundamentally in their approach, assumptions, tools, and applications. Here’s a breakdown of their key differences: 1. Core Philosophy & Methodology Traditional Econometrics SCM + ML Focuses on parametric models (e.g., linear regression, IV, DID) with strict assumptions (linearity, exogeneity). Uses non-parametric or […]