This paper considers factor forecasting with national versus factor forecasting withinternational data. We forecast … estimation using targeted predictors following Bai and Ng [Forecasting economic time series using targeted predictors, Journal of … Econometrics 146 (2008), 304-317]. The results are as follows: Forecasting without data preselection favours the use of German data …

This paper is concerned with problem of variable selection and forecasting in the presence of parameter instability …. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or … variable selection and forecasting stages. In this study, we investigate whether or not we should use weighted observations at …

We compare the forecasting performances of the classical and the Minnesota-type Bayesian vector autoregressive (VAR … algorithm for variable selection, estimated using Markov Chain Monte Carlo methods. In this regard, we analyze the forecasting … the linear fixed coefficients classical VAR. However, we do not observe marked gains in forecasting power across the …

This paper considers factor forecasting with national versus factor forecasting withinternational data. We forecast … estimation using targeted predictors following Bai and Ng [Forecasting economic time series using targeted predictors, Journal of … Econometrics 146 (2008), 304-317]. The results are as follows: Forecasting without data preselection favours the use of German data …

– 2010 I exhaustively evaluate the forecasting properties of Bayesian shrinkage in regressions with many predictors. Results …

is assessed in forecasting three major macroeconomic time series of the UK economy. Databased restrictions of VAR … coefficients can help improve upon their unrestricted counterparts in forecasting, and in many cases they compare favorably to …

– 2010 I exhaustively evaluate the forecasting properties of Bayesian shrinkage in regressions with many predictors. Results …

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 …

is assessed in forecasting three major macroeconomic time series of the UK economy. Data-based restrictions of VAR … coefficients can help improve upon their unrestricted counterparts in forecasting, and in many cases they compare favorably to …