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encompasses a general unrestricted model and it forecast encompasses the competitors when tested on 20 quarters of one step ahead …
Persistent link: https://www.econbiz.de/10009636545
The rank of the spectral density matrix conveys relevant information in a variety of statistical modelling scenarios. This note shows how to estimate the rank of the spectral density matrix at any given frequency. The method presented is valid for any hermitian positive definite matrix estimate...
Persistent link: https://www.econbiz.de/10009639403
We compare real-time density forecasts for the euro area using three DSGE models. The benchmark is the Smets-Wouters model and its forecasts of real GDP growth and inflation are compared with those from two extensions. The first adds financial frictions and expands the observables to include a...
Persistent link: https://www.econbiz.de/10011813503
general and can be used to measure the informational importance of observables with respect to latent variables in DSGE models …
Persistent link: https://www.econbiz.de/10011864177
composite leading indicators are carefully selected from around 160 candidate leading series using a general …
Persistent link: https://www.econbiz.de/10011901421
Density forecast combinations are examined in real-time using the log score to compare five methods: fixed weights, static and dynamic prediction pools, as well as Bayesian and dynamic model averaging. Since real-time data involves one vintage per time period and are subject to revisions, the...
Persistent link: https://www.econbiz.de/10012172228
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
This study applies a model averaging approach to conditionally forecast housing investment in the largest euro area countries and the euro area. To account for substantial modelling uncertainty, it estimates many vector error correction models (VECMs) using a wide set of short and long-run...
Persistent link: https://www.econbiz.de/10014278682
Commodity prices co-move, but the strength of this co-movement changes over time due to structural factors, like changing energy intensity in production and consumption as well as changing composition of underlying shocks. This paper explores whether econometric models that exploit this...
Persistent link: https://www.econbiz.de/10014486704
It is standard in applied work to select forecasting models by ranking candidate models by their prediction mean square error (PMSE) in simulated ou-of-sample (SOOS) forecasts. Alternatively, forecast models may be selected using information criteria (IC). We compare the asymptotic and...
Persistent link: https://www.econbiz.de/10009639853