When generating conditional forecasts in dynamic models it is common to impose the conditions as restrictions on future structural shocks. However, these conditional forecasts often ignore that there may be uncertainty about the future development of the restricted variables. Our paper therefore...

In this paper we investigate the problem of selecting an optimal horizon for inflation targeting in the United Kingdom. Since there are two key ways of thinking about an optimal horizon, we look at optimal horizons for both of these interpretations. In addition, to see whether our results are...

This paper argues that assuming a common information set shared by the public and the central bank may be inappropriate when one is concerned with the value of information itself. Specifically, we argue that it may lead one to draw the conclusion that monetary policy do not benefit from accurate...

There are many indications that formal methods are not used to their full potential by central banks today. In this paper we demonstrate how BVAR and DSGE models can be used to shed light on questions that policy makers deal with in practice using data from Sweden. We compare the forecast...

This paper describes the official Riksbank forecasts for the period 2000-06. The forecast variables are those that are important for monetary policy analysis, i.e. inflation, GDP, productivity, employment, labour force, unemployment and financial variables such as interest rate and foreign...

The use of explicit inflation targets has meant that monetary policy has become more transparent and also easier to evaluate. The analysis in this paper is based on forecasts by Sveriges Riksbank (the central bank of Sweden) on real output and inflation. Our purpose is to separate the effects on...

Macroeconomic research often relies on structural vector autoregressions to uncover empirical regularities. Critics argue the method goes awry due to lag truncation: short lag-lengths imply a poor approximation to DSGE-models. Empirically, short lag-length is deemed necessary as increased...

In this paper we examine whether data from business tendency surveys are useful for forecasting the macro economy in the short run. Our analyses primarily concern the growth rates of real GDP but we also evaluate forecasts of other variables such as unemployment, price and wage inflation,...

This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the Euro area during 1994Q1-2002Q4. We compare the DSGE model and a few variants of this model to various reduced form forecasting models such as vector autoregressions (VAR) and...

We consider forecast combination and, indirectly, model selection for VAR models when there is uncertainty about which variables to include in the model in addition to the forecast variables. The key difference from traditional Bayesian variable selection is that we also allow for uncertainty...