I apply a multiresolution decomposition to the term spread and real-GDP growth in the U.S. Using the filtered data, I study whether the yield spread helps forecasting output. The results show that the predictive power of the yield spread varies largely across time scales both in-sample and...

The ability of term spread to forecast U.S. output growth could be improved by two ways: (i) Combining with the Harrod-Domar variable - net saving as a percentage of gross national income - that used to proxy for aggregate supply; and (ii) Using a system of simultaneous equations, in which U.S....

A theoretical model for growth or inflation should be able to reproduce the empirical features of these variables better than competing alternatives. Therefore, it is common practice in the literature, whenever a new model is suggested, to compare its performance with that of a benchmark model....