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The housing market is complex, multidimensional and depends on the variability of external factors and the amount of information available to the agents involved in the process. Despite the challenges associated to this theme, its relevance in the socioeconomic and territorial context, sustains...
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pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE … react in a timely fashion to changes in the environment, leading to real-time forecast improvements relative to other … methods of density forecast combination, such as Bayesian model averaging, optimal (static) pools, and equal weights. We show …
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that the shape of the loss function varies across countries. The loss function becomes more asymmetric as the forecast …
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