forecasting gains are not significant relative to higher-order AR and nonlinear models, though simple benchmarks like the RW and … AR(1) models are statistically outperformed. Overall, we show that in terms of forecasting the US CPI, accounting for …

regression used in Bai and Ng (2008), called the elastic net (Zou and Hastie, 2005). We illustrate our approach by forecasting …

. Internet data can successfully be applied to a very wide range of human resource issues including forecasting (e.g. of …

-of-sample forecasting experiment. Our results show that exploiting the informational content in a common global business cycle factor … improves forecasting accuracy in terms of both point and density forecast evaluation across a large panel of countries. In line … earlier in the evaluation sample. However, this time is different also in other respects. On longer forecasting horizons the …