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Dynamic stochastic general equilibrium models have recently become standard tools for policy-oriented analyses. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real-time forecasts from a richly-specified DSGE model to those from...
Persistent link: https://www.econbiz.de/10013155104
This paper examines the asymptotic and finite-sample properties of tests of equal forecast accuracy when the models being compared are overlapping in the sense of Vuong (1989). Two models are overlapping when the true model con- tains just a subset of variables common to the larger sets of...
Persistent link: https://www.econbiz.de/10009310965
Persistent link: https://www.econbiz.de/10008669647
The post-crisis environment has posed important challenges to standard forecasting models. In this paper, we exploit several combinations of a large-scale DSGE structural model with standard reduced-form methods such as (B)VAR (i.e. DSGE-VAR and Augmented-(B)VARDSGE methods) and assess their use...
Persistent link: https://www.econbiz.de/10012858319
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...
Persistent link: https://www.econbiz.de/10014258211
Persistent link: https://www.econbiz.de/10001867290
This paper analyses the real-time forecasting performance of the New Keynesian DSGE model of Galí, Smets, and Wouters (2012) estimated on euro area data. It investigates to what extent forecasts of inflation, GDP growth and unemployment by professional forecasters improve the forecasting...
Persistent link: https://www.econbiz.de/10013078530
Dynamic stochastic general equilibrium models have recently become standard tools for policy-oriented analyses. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real-time forecasts from a richly-specified DSGE model to those from...
Persistent link: https://www.econbiz.de/10011605156
comparable - if not better - to the one obtained using theory free "Minnesota" priors (Doan et al., 1984). Additionally, the … marginal-likelihood of the time-series model with theory founded priors - derived from the output of the Gibbs sampler - can be …
Persistent link: https://www.econbiz.de/10010339762
This paper shows how to compute the h-step-ahead predictive likelihood for any subset of the observed variables in parametric discrete time series models estimated with Bayesian methods. The subset of variables may vary across forecast horizons and the problem thereby covers marginal and joint...
Persistent link: https://www.econbiz.de/10013083316