The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

This study evaluates potential migration flows to the European Union from its Eastern neighbors and Croatia. We perform out-of-sample forecasts to time series cross-sectional data about post-enlargement migration flows following the EU's 2004 enlargement. We consider two baseline policy...

Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....