Chapter 14

Variable Selection in Predictive Regressions

Serena Ng,     Columbia University

Abstract

This chapter reviews methods for selecting empirically relevant predictors from a set of image potentially relevant ones for the purpose of forecasting a scalar time series. First, criterion-based procedures in the conventional case when image is small relative to the sample size, image, are reviewed. Then the large case is covered. Regularization and dimension reduction ...

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