"We propose a Bayesian procedure for exploiting small, possibly long-lag linear predictability in the innovations of a finite order autoregression. We model the innovations as having a log-spectral density that is a continuous mean-zero Gaussian process of order 1/√T. This local embedding...

November 1999 - It is difficult to choose the best model for forecasting real per capita GDP for a particular country or group of countries. This study suggests potential gains from combining time series and growth-regression-based approaches to forecasting. Kraay and Monokroussos consider two...