in the international data. The largest forecasting accuracy gains from including international predictors are at longer … forecast horizons. The forecasting performance achievable with the data-rich methods differs widely, with shrinkage methods and …

We assess the marginal predictive content of a large international dataset for forecasting GDP in New Zealand, an … capturing a substantial proportion of the predictive information in the international data. The largest forecasting accuracy … gains from including international predictors are at longer forecast horizons. The forecasting performance achievable with …

series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and … forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive … of widely used macroeconomic series data with one or two sufficient reductions delivering similar forecasting performance …

forecast combinations, which are widely used in macroeconomic forecasting, and compares these with a lesser known alternative …

We compare a number of data-rich prediction methods that are widely used in macroeconomic forecasting with a lesser …

forecast combinations, which are widely used in macroeconomic forecasting, and compares these with a lesser known alternative …

aggregation for the series in the data set. We consider two evaluation samples for the out-of-sample forecasting exercise to … assess the stability of the forecasting performance. We find that the effect of the data set size on the forecasting … forecasting process. …

In this paper we explore the forecasting performances of methods based on a pre-selection of monthly indicators from …