Using the Consensus Economics dataset with individual expertforecasts from G7 countries we investigate determinants of disagreement (crosssectionaldispersion of forecasts) about six key economic indicators. Disagreementabout real variables (GDP, consumption, investment and unemployment)has a...

This paper introduces a new algorithm, the recursive upwind Gauss–Seidel method, andapplies it to solve a standard stochastic growth model in which the technology shocksexhibit heteroskedasticity. This method exploits the fact that the equations definingequilibrium can be viewed as a set of...

Several authors have shown that there exists a significant relationship between the term structure of interest rates and future changes in the rate of inflation. More recently, this relationship has been strengthened through the introduction of nonlinearities and regime shifts. This paper...

Macroeconomic risk assessments play an important role in the forecasts of manyinstitutions. However, to the best of our knowledge their performance has notbeen investigated yet. In this work, we study the Bank of England’s risk forecastsfor inflation. We find that these forecasts do not...

In this papaer, we put DSGE forecasts in competition with factor forecasts. We focus on these two models since they represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic background; the factor model on the other hand is mainly...

This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR(MF-VAR) approaches to model speci…cation in the presence of mixed-frequency data,e.g., monthly and quarterly series. MIDAS leads to parsimonious models based onexponential lag polynomials for the coe¢ cients, whereas...

This paper discusses pooling versus model selection for now- and forecasting in the pres-ence of model uncertainty with large, unbalanced datasets. Empirically, unbalanceddata is pervasive in economics and typically due to di¤erent sampling frequencies andpublication delays. Two model classes...

Forecasting the world economy is a di¢ cult task given the complex interre-lationships within and across countries. This paper proposes a number ofapproaches to forecast short-term changes in selected world economic vari-ables and aims, …rst, at ranking various forecasting methods in terms...

Das vorliegende Papier verfolgt, den empirischen Zusammenhang zwischen den realen Aktienmarktniveaus von Deutschland und den USA zur Aktienmarktprognose zu verwenden ...

In this paper we develop a structural equation model with latent variables in an ordinal setting which allows us to test broker-dealer predictive ability of financial market movements. We use a multivariate logit model in a latent factor framework, develop a tractable estimator based on a...