Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The global financial crisis has led to a revival of the empirical literature on current account imbalances. This paper contributes to that literature by investigating the importance of evaluating model and parameter uncertainty prior to reaching any firm conclusion. We explore three alternative econometric strategies: examining all models, selecting a few, and combining them all. Out of thousands (or indeed millions) of models a story emerges. The chance that current accounts were aligned with fundamentals prior to the financial crisis appears to be minimal.