Cross institutional forecast evaluations may be severely distorted by the fact that forecasts are made at different points in time, and thus with different amount of information. This paper proposes a method to account for these differences. The method computes the timing effect and the...

This paper assesses to what extent forecasters make efficient use of competitors' forecasts. Using a panel of forecasters, I find that forecasters underuse information from their competitors in their forecasts for current and next year's annual GDP growth and in ation. The results also show that...

This paper documents the existence of electoral cycles in GDP growth forecasts released by governments. In a theoretical model of political selection, we show that governments release overly optimistic GDP growth forecasts ahead of elections to increase the reelection probability. The bias...

Recent research suggests that commonly estimated dynamic Taylor rules augmented with a lagged interest rate imply too much predictability of interest rate changes compared with yield curve evidence. We show that this is not sufficient proof against the Taylor rule: the result could be driven by...

Using an empirical New-Keynesian model with optimal discretionary monetary policy, we calibrate key parameters - the central bank's preference parameters; the degree of forward-looking behavior in the determination of inflation and output; and the variances of inflation and output shocks - to...