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to forecast the needs of beds in intensive care, jointly with the number of patients hospitalised with Covid-19 symptoms … at later stages of the spread of the disease. This reasonable forecast performance suggests that the present approach may …
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This paper develops Bayesian econometric methods for posterior inference in non-parametric mixed frequency VARs using additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of extreme observations, for instance those produced...
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The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement...
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