“…The variety of such models is complex, as the same approaches are oriented towards different purposes, such as the identification of the most appropriate measures for controlling market mechanisms (Christiano, Trabandt, & Karl, 2010); outlining the impact of individual forecasts relating to interest rate, inflation rate and gross domestic product on aggregate predictive performance (Smets et al, 2014); investigating, while considering the financial accelerator, the role of financial mechanisms in translating financial market dysfunctions into the real economy (Merola, 2015); considering the effects of goal-based and rule-based frameworks on diminishing macroeconomic policy distortions, and on increasing its flexibility and efficacy only when related to the output efficiency gap (Walsh, 2015); the demonstration that time-varying D.S.G.E. models based on financial frictions increase economic growth and inflation rate forecasting accuracy in periods of tranquillity, the fixed coefficient ones being fit rather for crisis-related periods (Galvão, Giraitis, Kapetanios, & Petrova, 2016); or that, in the absence of observed exchange rate high-volatility replication, considering the real exchange rate mean reversion for long time horizons as well as the international price co-movement present in data, all premises are laid for real exchange rate-pertinent forecasts (Ca'Zorzi, Kolasa, & Rubaszek, 2017); these are just several interesting and useful studies based on this class of models.…”