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the predictors. We compare the performance of the priors in density forecast of inflation allowing for constant and … generalized Phillip curve for three inflation-targeting countries and produced evidence of significant time-variation in most of … stochastic volatility in the model estimation. Evidence from the estimates of the log predictive density score shows that the …
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horizon-dependent biases and lower accuracy than simple unconditional uncertainty forecasts. We examine the inflation …
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This paper improves the existing literature on the shrinkage of high dimensional model and parameter spaces through Bayesian priors and Markov Chains algorithms. A hierarchical semiparametric Bayes approach is developed to overtake limits and misspecificity involved in compressed regression...
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