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forecasting results to results from Monte Carlo simulations of DGPs that either assume stability or allow breaks in the DGP. This … the output gap coefficients can lead to a breakdown in the power of tests of equal forecast accuracy and forecast …
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We develop a model that permits the estimation of a term structure of both expectations and forecast uncertainty for … given data set of predictions from the SPF (or a similar forecast source) without measurement error. Our model captures … fixed horizon and fixed-event forecasts, and can accommodate changes in the maximal forecast horizon available from the SPF …
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We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...
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