Showing 1 - 10 of 441
wondering how to choose the sample for estimating forecasting models. When we forecast inflation in 2014, for example, should we … applied to forecasting US real output growth and inflation, the proposed method tends to improve upon conventional methods. …While forecasting is a common practice in academia, government and business alike, practitioners are often left …
Persistent link: https://www.econbiz.de/10011083425
macroeconomic forecasts. We produce real time out-of-sample forecasts for inflation, the unemployment rate and the interest rate … predictions for the three variables. In particular for inflation the TV-VAR outperforms, in terms of mean square forecast error … also shown to hold over the most recent period in which it has been hard to forecast inflation. …
Persistent link: https://www.econbiz.de/10008472106
degenerate or not. We demonstrate by simulation the coverage accuracy of these sets in finite samples under realistic conditions …
Persistent link: https://www.econbiz.de/10011084610
volatilities, and a hierarchical specification for the prior means, improve model fit and forecasting performance. …
Persistent link: https://www.econbiz.de/10011083412
-of-sample forecasts. Second, we discuss how to extend this forecasting approach to higher horizons. Third, we compare the resulting class … is most useful for forecasting. We show that the asymmetry embodied in commonly used nonlinear transformations of the … price of oil is not helpful for out-of-sample forecasting; more robust and more accurate real GDP forecasts are obtained …
Persistent link: https://www.econbiz.de/10011083435
We propose a new approach to predictive density modeling that allows for MIDAS effects in both the first and second moments of the outcome and develop Gibbs sampling methods for Bayesian estimation in the presence of stochastic volatility dynamics. When applied to quarterly U.S. GDP growth data,...
Persistent link: https://www.econbiz.de/10011083475
Inflation is a far from homogeneous phenomenon, a fact often neglected in modelling consumer price inflation. This … study, the first of its kind for an emerging market country, investigates gains to inflation forecast accuracy by … aggregating weighted forecasts of the sub-component price indices, versus forecasting the aggregate consumer price index itself …
Persistent link: https://www.econbiz.de/10008553067
simple to construct and appear to work well in a variety of cases explored empirically and by simulation. The proposed … inflation. …
Persistent link: https://www.econbiz.de/10008468580
autoregessions in inflation and output gap measures. Density combination utilizes a linear mixture of experts framework to produce … detrending filters. The resulting ensemble produces well-calibrated forecast densities for US inflation in real time, in contrast …
Persistent link: https://www.econbiz.de/10008468622
to construct simple statistics to evaluate the local internal consistency of a forecasting exercise of a system of …
Persistent link: https://www.econbiz.de/10005123779