This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … forecasting models such as vector autoregressions (VAR) and vector error correction models (VECM), estimated both by maximum …-dimensional summaries, e.g. the log determinant statistic, as measures of overall forecasting performance. …

This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … forecasting models such as vector autoregressions (VAR) and vector error correction models (VECM), estimated both by maximum …-dimensional summaries, e.g. the log determinant statistic, as measures of overall forecasting performance. …

This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … forecasting models such as vector autoregressions (VAR) and vector error correction models (VECM), estimated both by maximum …-dimensional summaries, e.g. the log determinant statistic, as measures of overall forecasting performance. …

In this paper we propose a strategy for forecasting the term structure of interest rates which may produce significant …

This paper develops methods for automatic selection of variables in forecasting Bayesian vector autoregressions (VARs … Carlo experiment, and in forecasting 4 macroeconomic series of the UK using time-varying parameters vector autoregressions … (TVP-VARs). Restricted models consistently improve upon their unrestricted counterparts in forecasting, showing the merits …

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the … forecasting performance of our proposed model relative to most of the existing alternative speci.cations. While most of the … and useful for forecasting. …