Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The presence of deterministic or stochastic trend in US GDP has been a continuing debate in the literature of macroeconomics. Ben-David and Papell (1995) found evidence in favour of trend stationarity using the secular sample of Maddison (1991). More recently, Murray and Nelson (2000) correctly criticized this finding arguing that the Maddision data are plagued with additive outliers (AO), which bias inference towards stationarity. Hence, they propose to set the secular sample aside and conduct inference using a more homogeneous but shorter time-span post-WWII sample. In this article we re-visit the Maddison data by employing a test that is robust against AO's. Our results suggest the US GDP can be modelled as trend stationary process