Instrumental variables estimation is classically employed to avoid simultaneous equations bias in a stable environment. Here we use it to improve upon ordinary least squares estimation of cointegrating regressions between nonstationary and/or long memory stationary variables where the...

The Bansal and Yaron (2004) model of long run risks (LLR) in aggregate consumption and dividend growth and its extension that captures potential co- integration of the consumption and dividend levels, are tested on a cross-section of asset classes and rejected using annual data over the period...

This paper deals with models allowing for trending processes and cyclical component with error processes that are possibly nonstationary, nonlinear, and non-Gaussian. Asymptotic confidence intervals for the trend, cyclical component, and memory parameters are obtained. The confidence intervals...