An Eclectic Approach to Estimating U.S. Potential GDP

Rennison (Comparing alternative output gap estimations: a Monte Carlo approach, 2003) has provided simulation-based evidence showing that the joint use of extended multivariate filters and structural vector autoregression models is optimal for estimating potential output. We use this approach to estimate the two components of potential GDP: the full-employment labour input and trend labour productivity. This decomposition is useful for identifying sources of fluctuations in potential output. It reveals, for example, that the vigorous growth rate of U.S. potential GDP recorded during the second half of the 1990s is attributable to a fall in the structural rate of unemployment and a marked upswing in trend productivity growth.     

Organizational capital and the international co-movement of investment

A recent literature explores the macroeconomic implications of organizational capital (OC) and especially its ability to resolve discrepancies between existing models and data. This paper contributes to the OC literature by studying the effect of OC on international investment flows in the context of a two-country real business cycle model. The presence of OC introduces novel considerations into agents’ investment decisions since current investment and future productivity levels are positively linked. These new considerations help bring the model closer to the data. In response to a productivity shock in one country, investment increases in both countries, producing positive international co-movement in investment, a feature of the data that several IRBC models fail to produce.