Recent research has found that macroeconomic survey forecasts of uncertainty exhibit several deficiencies, such as horizon-dependent biases and lower accuracy than simple unconditional uncertainty forecasts. We examine the inflation uncertainty forecasts from the Bank of England, the Banco...

The interest rate assumptions for macroeconomic forecasts differ considerably among central banks. Common approaches are given by the assumption of constant interest rates, interest rates expected by market participants, or the central bank’s own interest rate expectations. From a theoretical...

We analyze the positive and normative effects of a progressive tax on wages in a nonlinear New Keynesian DSGE model in the presence of demand and technology shocks. The non-linearity allows us to disentangle the effects of the progressive tax on the volatility and the level of macroeconomic...

This paper examines whether monetary expansion is a beggar-thyself or beggar-thy-neighbour policy. Obstfeld and Rogoff (1995) show that monetary expansion under producer currency pricing increases domestic and foreign overall welfare, in cases where the crosscountry substitutability is high. If...

After an expansionary monetary policy shock employment increases and unemployment falls. In standard New Keynesian models the fall in aggregate unemployment does not affect employed workers at all. However, Lüchinger, Meier and Stutzer (2010) found that the risk of unemployment negatively...

Recently, several institutions have increased their forecast horizons, and many institutions rely on their past forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be accomplished if there are only very few errors available...

Forecasts are useless whenever the forecast error variance fails to be smaller than the unconditional variance of the target variable. This paper develops tests for the null hypothesis that forecasts become uninformative beyond some limiting forecast horizon h. Following Diebold and Mariano (DM,...

The linear pool is the most popular method for combining density forecasts. We analyze the linear pool's implications concerning forecast uncertainty in a new theoretical framework that focuses on the mean and variance of each density forecast to be combined. Our results show that, if the...