Inflation forecasts made 1999-2005 by Sveriges Riksbank and Konjunkturinstitet of Swedish inflation rates 1999-2007 are tested for unbiasedness; i.e., are the mean forecast errors zero? The bias is in the order of -0.1 percentage units for horizons below one year and in the order of 0.1 and 0.6...

In this paper the accuracy of a wide range of German business cycle forecasters is assessed for the period from 1995 to 2005. For this purpose, a data set is used comprising forecasts published on a monthly basis by Consensus Economics. The application of several descriptive as well as...

Überraschend ist im Mai die Arbeitslosigkeit gefallen. Diese positive Entwicklung wird sich im Juni zunächst fortsetzen. Diese Einschätzung basiert auf einem neuen methodischen Konzept, das Google-Aktivitätsdaten für die kurzfristige Prognose der Arbeitslosigkeit einsetzt. Gerade in...

In this paper we analyze the macroeconomic forecasts of the Consensus Forecasts for 12 countries over the period from 1996 to 2006 regarding bias and information efficiency. A pooled approach is employed which permits the evaluation of all forecasts for each target variable over 24 horizons...

In this paper the accuracy of a wide range of German business cycle forecasters is assessed for the past 10 years. For this purpose, a data set is used comprising forecasts published on a monthly basis by Consensus Economics. The application of several descriptive as well as statistical measures...

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...

It is commonly accepted that information is helpful if it can be exploited to improve a decision mak- ing process. In economics, decisions are often based on forecasts of up{ or downward movements of the variable of interest. We point out that directional forecasts can provide a useful framework...

Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...

The focus of this paper is the evaluation of a very popular method for potential output estimation and medium-term forecasting? the production function approach?in terms of predictive performance. For this purpose, a forecast evaluation for the three to five years ahead predictions of GDP growth...

In this paper we suggest an approach to comparison of models' forecasting performance in unstable environments. Our approach is based on combination of the Cumulated Sum of Squared Forecast Error Differential (CSSFED) suggested earlier in Welch and Goyal (2008) and the Bayesian change point...