This paper uses the flexible approach of Hamilton (2001) to investigate the nature of nonlinearities in the term structure. The paper reports clear evidence of nonlinearity, in contrast to the affine term structure model and consistent with recent claims in the literature. We find that there is...

This paper revisits the yield spread's usefulness for predicting future real GDP growth. We show that the contribution of the spread can be decomposed into the effect of expected future changes in short rates and the effect of the term premium. We find that both factors are relevant for...

This paper revisits the yield spread's usefulness for predicting future real GDP growth. We show that the contribution of the spread can be decomposed into the effect of expected future changes in short rates and the effect of the term premium. We find that both factors are relevant for...

Empirical estimations of the micro-founded New Keynesian Phillips Curve (NKPC) using rational inflation expectation proxies have often found that the output gap is an invalid measure of inflation pressure. This paper investigates the empirical success of the NKPC in explaining US inflation when...

This paper investigates the nature of nonlinearities in the monetary policy rule of the US Federal Reserve (Fed) using the flexible approach to nonlinear inference. We find that while there is significant evidence of nonlinearity for the period to 1979, there is little such evidence for the...

This paper characterizes the nonlinear relation between oil price change and GDP growth, focusing on the panel data of various industrialized countries. Toward this end, the paper extends a flexible nonlinear inference to the panel data analysis where the random error components are incorporated...

We extend the vector autoregression (VAR) based expectations hypothesis (EH) test of term structure, considered in Bekaert & Hodrick (2001), B&H thereafter, using recent developments in bootstrap literature. Modifications include the use of wild bootstrap to allow for conditional...