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This paper argues that probability forecasts convey information on the uncertainties that surround macroeconomic forecasts in a manner which is straightforward and which is preferable to other alternatives, including the use of confidence intervals. Probability forecasts relating to UK output...
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This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...
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In this paper, we examine the forecasting ability of an affine term structure framework that jointly models the markets for Treasuries, inflation-protected securities, inflation derivatives, and oil future prices based on no-arbitrage restrictions across these markets. On the methodological...
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that judgmental survey forecasts outperform model-based ones, often by a wide margin. A very simple forecast that is just a … glide path between the survey assessment of inflation in the current-quarter and the long-run survey forecast value turns … out to be competitive with the actual survey forecast and thereby does about as well or better than model-based forecasts …
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