In this paper, we use survey data to analyze the rationality of professional macroeconomic
forecasts. We analyze both individual forecasts and average forecasts. We provide evidence on the
properties of forecasts for all the G7-counties and four different macroeconomic variables.
Furthermore, we present a modification to the structural model which is commonly used to model the
forecast errors of fixed event forecasts in the literature. Our results confirm that average forecasts should be used with caution, since even if all individual forecasts are rational the hypothesis of rationality is often rejected by the aggregate forecasts. We find that there are not only large differences in the performance of forecasters across countries but also across different macroeconomic variables; in general, forecasts tend to be biased in situations where forecasters have to learn about large structural shocks or gradual changes in the trend of a variable.
- Evaluating forecasts
- Fixed-Event Forecasts
- Macroeconomic Forecasting
- survey data