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In a factor-augmented regression, the forecast of a variable depends on a few factors estimated from a large number of predictors. But how does one determine the appropriate number of factors relevant for such a regression? Existing work has focused on criteria that can consistently estimate the...
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We compare a number of data-rich prediction methods that are widely used in macroeconomic forecasting with a lesser …. -- Macroeconomic forecasting ; factor models ; forecast combination ; principal components ; partial least squares ; Bayesian ridge …
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