On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls

Anish Agarwal, Devavrat Shah, Dennis Shen

We analyze principal component regression (PCR) in a high-dimensional error-in-variables setting with fixed design. Under suitable conditions, we show that PCR consistently identif…