Showing 1 - 10 of 1,781
This paper considers forecast averaging when the same model is used but estimation is carried out over different … estimation windows leads to a lower bias and to a lower root mean square forecast error for all but the smallest of breaks … techniques are applied to monthly inflation series of 21 OECD countries and it is found that average forecasting methods in …
Persistent link: https://www.econbiz.de/10012756639
optimally does not improve forecast accuracy; (e) all variants except the large BVAR tend to be well calibrated for inflation …Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when … the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast …
Persistent link: https://www.econbiz.de/10013055383
We estimate a Markow-switching dynamic factor model with three states based on six leading business cycle indicators for Germany preselected from a broader set using the Elastic Net soft-thresholding rule. The three states represent expansions, normal recessions and severe recessions. We show...
Persistent link: https://www.econbiz.de/10012955198
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10013085278
This paper explores a range of different forecast methods for Brent oil prices and analyses their performance relative … across forecast horizons. To address this instability, we propose a forecast combination for predicting quarterly real Brent … generates forecasts whose performance is robust over time. The improvements in forecast accuracy and stability are noticeable in …
Persistent link: https://www.econbiz.de/10012964616
quite rapidly with the forecast horizon, and (b) AugGVAR forecasts do as well as other data-rich forecasting techniques for … short horizons, and tend to do better for longer forecast horizons …
Persistent link: https://www.econbiz.de/10013040008
modeling, we construct the area-wide indicators by utilizing weights that minimize the variance of the out-of-sample forecast … errors of the area-wide target variable. In an out-of-sample forecast experiment we find that our optimal pooling of … information approach outperforms alternative forecasting methods in terms of forecast accuracy …
Persistent link: https://www.econbiz.de/10012753479
This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two German states (the Free State of Saxony and...
Persistent link: https://www.econbiz.de/10013315480
We have argued that from the standpoint of a policy maker, the uncertainty of using the average forecast is not the … that the uncertainty of the average forecast can be expressed as the disagreement among the forecasters plus the volatility … the conceptually correct benchmark forecast uncertainty …
Persistent link: https://www.econbiz.de/10013017623
rates approach forecasting from a different perspective. Rather than focus on forecast errors for bilateral exchange rates …
Persistent link: https://www.econbiz.de/10013081705