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performs favourably compared to the Eurosystem/ECB staff macroeconomic projections, (iv) forecasting performance deteriorates …
Persistent link: https://www.econbiz.de/10014315194
This paper compares within-sample and out-of-sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets and Wouters model is the chosen laboratory using quarterly real-time euro area data vintages, covering 2001Q1-2019Q4. The adaptive learning model...
Persistent link: https://www.econbiz.de/10013492913
forecasting euro area manufacturing production. Following Boivin and Ng (2006), the emphasis is put on the role of dataset …
Persistent link: https://www.econbiz.de/10011604940
In this paper we propose a methodology to estimate a dynamic factor model on data sets with an arbitrary pattern of missing data. We modify the Expectation Maximisation (EM) algorithm as proposed for a dynamic factor model by Watson and Engle (1983) to the case with general pattern of missing...
Persistent link: https://www.econbiz.de/10011605235
In this paper we develop a small open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model - the Halle Economic Projection Model (HEPM) - is closely related to studies recently published...
Persistent link: https://www.econbiz.de/10010271586
relative to other predictors generally improving in the post-2012 period. An out-of-sample forecasting exercise indicates that …, when monetary and credit aggregates are loaded directly in the forecasting equation, the additional gains over the … and credit variables in forecasting inflation, even if their information content is diluted in a much broader pool of …
Persistent link: https://www.econbiz.de/10011637074
- and hard-threshold algorithms improves the forecasting performance, especially during periods of economic crisis. While a … effect on forecasting performance, all the more, if the set of indicators becomes unbalanced. …
Persistent link: https://www.econbiz.de/10010532088
the beginning of 2018. They also have performed well in forecasting the direction of inflation. In terms of the …
Persistent link: https://www.econbiz.de/10011901421
Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....
Persistent link: https://www.econbiz.de/10010342246
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 accuracy for euro area real GDP growth and HICP...
Persistent link: https://www.econbiz.de/10010257225