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We compare the predictive performance of linear, VAR extensions of smooth transition regression and switching regimes, probit, non\u2010parametric models and conclude that a combination of the switching regimes and non\u2010parametric forecasts is the best strategy at predicting both the NBER business cycle schedule and GDP growth. This confirms the usefulness of CLI, even in a real\u2010time analysis. 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