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forecast densities. To illustrate the usefulness of our approach, we calculate the probability of a negative output gap at …
Persistent link: https://www.econbiz.de/10014181023
Historians have suggested there were waves of inflation or price revolutions in the UK (and earlier England) in the 13th, 16th, and 18th centuries, prior to the ongoing inflation since 1914. We study retail price inflation since 1251 and model its forecasts. The model is an AR(n) but allows for...
Persistent link: https://www.econbiz.de/10013236916
We investigate whether a class of trend models with various error term structures can improve upon the forecast …
Persistent link: https://www.econbiz.de/10014090744
The paper provides a short account of the major complete macroeconometric models that have been constructed in Australia. Initially these were by academics but later both the Treasury and Reserve Bank of Australia developed these for policy analysis and forecasting, so that the history focuses a...
Persistent link: https://www.econbiz.de/10012866628
We present a new approach to the approximation of equilibrium solutions to nonlinear rational expectations models that applies to any order of approximation. The approach relies on a particular version of Taylor series approximations -- the differential version -- and on a scalar perturbation of...
Persistent link: https://www.econbiz.de/10013047418
We analyze how trust affects the transmission of negative demand and supply shocks. We define trust to have two dimensions: there is trust in the central bank’s inflation target and trust in the future of economic activity. We use a behavioural macroeconomic model that is characterized by the...
Persistent link: https://www.econbiz.de/10014084666
forecasts is the Ensemble forecast, that combines all available predictions using uniform weights. In view of these results …, collecting a wide range of forecasts and combining them in an ensemble forecast may be a superior approach for health authorities …
Persistent link: https://www.econbiz.de/10013216474
This paper focuses on forecasting quarterly energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of potentially informative quarterly macroeconomic variables for the 33 largest economies,...
Persistent link: https://www.econbiz.de/10012857769
forward guidance matter. Using a VAR identified with external instruments based on forecast errors from the predictive …
Persistent link: https://www.econbiz.de/10012961019
This paper constructs a monthly real-time oil price dataset using backcasting and compares the forecast performance of … used to forecast the real price of oil. The results show that time-varying volatility models dominate their counterparts …
Persistent link: https://www.econbiz.de/10012943623