Forecasting the world economy is a di¢ cult task given the complex interre-lationships within and across countries …, …rst, at ranking various forecasting methods in terms offorecast accuracy and, second, at checking whether methods … forecasting di-rectly aggregate variables (direct approaches) outperform methods based onthe aggregation of country …

content and its potential use for fiscal forecasting and monitoring purposes. The models are estimated with annual and …

forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor …. For most of the components, we report that factor models yield lower forecasting errors than a simple AR process or an … improvements in terms of forecasting accuracy are found for more volatile periods, such as the recent financial crisis. However …

forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor …. For most of the components, we report that factor models yield lower forecasting errors than a simple AR process or an … improvements in terms of forecasting accuracy are found for more volatile periods, such as the recent financial crisis. However …

We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this … collected at low frequency and published with long delays. Until recently, nowcasting had received very little attention by the … basis of simple models. We argue that the nowcasting process goes beyond the simple production of an early estimate as it …

-used probit approach, but the dynamics of regressors are endogenized using a VAR. The combined model is called a ‘ProbVAR’. At any … short-term interest rate, stock returns or corporate bond spreads. The forecasting performance is very good for the United …

series at annual frequency. This makes the analysis useful in the typical forecasting environment of large institutions …