This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether...

In this study some alternative forecasts for the unemployment rate of USA made by four institutions (International Monetary Fund (IMF), Organization for Economic Co-operation and Development (OECD), Congressional Budget Office (CBO) and Blue Chips (BC)) are evaluated regarding the accuracy and...

In this paper, we ask whether it is possible to forecast gross value-added (GVA) and its sectoral subcomponents at the regional level. With an autoregressive distributed lagmodel we forecast total and sectoral GVA for one German state (Saxony) with more than 300 indicators from different...

In this paper, we assess the accuracy of macroeconomic forecasts at the regional level using a unique data set at quarterly frequency. We forecast gross domestic product (GDP) for two German states (Free State of Saxony and Baden-Württemberg) and Eastern Germany. We overcome the problem of a...

In this paper article, two strategies based on the econometric approach are proposed in order to improve the forecast accuracy of GDP index in Romania. First, the index is predicted starting from an econometric model that reflects the relationship between the GDP index and the GDP deflator....

Econometric modeling of the exchange rate saw successive progresses, the forecasts based on the ‘70s models having a rather good accuracy, as recent researches showed. In order to explain the monthly evolution of RON/USA exchange rate during 2007-June 2011, I used three econometric models: a...

The aggregation of the variables that compose an indicator, as GDP, which should be forecasted, is not mentioned explicitly in literature as a source of forecasts uncertainty. In this study based on data on U.S. GDP and its components in 1995-2010, we found that GDP one-step-ahead forecasts made...

This paper investigates the accuracy of forecasts from four DSGE models for inflation, output growth and the federal funds rate using a real-time dataset synchronized with the Fed's Greenbook projections. Conditioning the model forecasts on the Greenbook nowcasts leads to forecasts that are as...

This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook...