This paper analyses the performance of GDP growth and inflation forecasts for 25 transition countries between 1994 and 2007, as provided by 13 international institutions, including multilateral, private and academic forecasters. The empirical results show that there is a positive correlation...

This paper analyzes the accuracy of GDP growth forecasts prepared by the EBRD for 25 transition countries between 1994 and 2004. It finds that EBRD forecasts are mostly unbiased and efficient, and that forecast accuracy has improved as transition has progressed and as the range of data sources...

We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a realtime subjective measure of uncertainty...

The Asian Development Outlook (ADO) provides growth and inflation forecasts for more than 40 economies in the region. This paper assesses the accuracy of those forecasts against actual outcomes for the years from 2008 to 2011. The World Economic Outlook (WEO) forecasts by the International...

This paper assesses the OECD’s projections for GDP growth and inflation during the global financial crisis and recovery, focussing on lessons that can be learned. The projections repeatedly over-estimated growth, failing to anticipate the extent of the slowdown and later the weak pace of the...

This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two German states (the Free State of Saxony and...

Time varying patterns in US growth are analyzed using various univariate model structures, starting from a naive model structure where all features change every period to a model where the slow variation in the conditional mean and changes in the conditional variance are specified together with...

We present evidence that global vectorautoregressive (GVAR) models produce significantly more accurate recession forecasts than country-specific time-series models in a Bayesian framework. This result holds for most countries and forecast horizons as well as for several country groups.

Prognosen werden mehrfach revidiert - von den ersten vorwiegend theoriebasierten über spätere in zunehmenden Maße von den Daten bestimmten Erstellungen bis zur Veröffentlichung der Volkswirtschaftlichen Gesamtrechnungen des Statistischen Bundesamtes. In dieser Zeit ändern sich nicht nur die...