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Using the Consensus Economics dataset with individual expert forecasts from G7 countries we investigate determinants of disagreement (crosssectional dispersion of forecasts) about six key economic indicators. Disagreement about real variables (GDP, consumption, investment and unemployment) has a...
Persistent link: https://www.econbiz.de/10011605128
. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …
Persistent link: https://www.econbiz.de/10011605156
In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus … matrix of h-step ahead forecasts. In the empirical analysis, we examine the forecasting performance of the New Area … scope for improving the NAWM’s forecasting performance. For example, the model is not able to explain the moderation in wage …
Persistent link: https://www.econbiz.de/10011605231
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
This paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations …
Persistent link: https://www.econbiz.de/10011605295
short-term interest rate, stock returns or corporate bond spreads. The forecasting performance is very good for the United …
Persistent link: https://www.econbiz.de/10011605301
We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this process is to use timely monthly information in order to nowcast key economic variables, such as e.g. GDP, that are typically collected at low frequency and published with long...
Persistent link: https://www.econbiz.de/10011605321
across different horizons and real-time datasets. To further improve performances when forecasting with machine learning, we …
Persistent link: https://www.econbiz.de/10014374780
We propose the method of eigenvalue filtering as a new tool to extract time series subcomponents (such as business-cycle or irregular) defined by properties of the underlying eigenvalues. We logically extend the Beveridge-Nelson decomposition of the VAR time-series models focusing on the...
Persistent link: https://www.econbiz.de/10011604595
We show how to use a simple perturbation method to solve non-linear rational expectation models. Drawing from the applied mathematics literature we propose a method consisting of series expansions of the non-linear system around a known solution. The variables are represented in terms of their...
Persistent link: https://www.econbiz.de/10013136525