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• W2103358330 abstract "This paper provides a simple shrinkage representation that describes the operational characteristics of various forecasting methods that are applicable when there are a large number of orthogonal predictors (such as principal components). These methods include pretest methods, Bayesian model averaging, empirical Bayes, and bagging. We then compare these and other many-predictor forecasting methods in the context of macroeconomic forecasting (real activity and inflation) using 131 monthly predictors with monthly U.S. economic time series data, 1959:1 - 2003:12. The theoretical shrinkage representations serve to inform our empirical comparison of these forecasting methods." @default.
• W2103358330 created "2016-06-24" @default.
• W2103358330 creator A5052842724 @default.
• W2103358330 creator A5067048300 @default.
• W2103358330 date "2005-01-01" @default.
• W2103358330 modified "2023-09-27" @default.
• W2103358330 title "AN EMPIRICAL COMPARISON OF METHODS FOR FORECASTING USING MANY PREDICTORS" @default.
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• W2103358330 hasPublicationYear "2005" @default.
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