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Probabilistic forecasting of output growth, inflation and the balance of trad...
We apply a global vector autoregressive (GVAR) model to the analysis of inflation, output growth and global imbalances among a group of 33 countries (26 regions). We account for... -
Path forecast evaluation (replication data)
A path forecast refers to the sequence of forecasts 1 to H periods into the future. A summary of the range of possible paths the predicted variable may follow for a given... -
Forecast comparisons in unstable environments (replication data)
We propose new methods for comparing the out-of-sample forecasting performance of two competing models in the presence of possible instabilities. The main idea is to develop a... -
A comparison of forecast performance between federal reserve staff forecasts,...
This paper considers the real-time-- forecast performance of the Federal Reserve staff, time-series models, and an estimated dynamic stochastic general equilibrium (DSGE)... -
What do we learn from the price of crude oil futures? (replication data)
Despite their widespread use as predictors of the spot price of oil, oil futures prices tend to be less accurate in the mean-squared prediction error sense than no-change...
