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consistent with the statistical properties of the learning algorithm. Our method is generically formulated to cover different …
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We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on inflation and growth. We find that the Least Squares with constant gains adjusted to match (past) survey forecasts provides the best overall performance both in terms of forecasting...
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