This paper develops Bayesian econometric methods for posterior inference in non-parametric mixed frequency VARs using additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of extreme observations, for instance those produced...

This paper builds an innovative composite world trade cycle index (WTI) by means of a dynamic factor model to monitor and perform short-term forecasts in real time of world trade growth of both goods and (usually neglected) services. The selection of trade indicator series is made using a...

In this paper we assess the determinants of secondary school outcomes in South Africa. We use Bayesian Averaging Model techniques to account for uncertainty in the set of underlying factors that are chosen among a very large pool of explanatory variables in order to minimize the risk of omitted...

Empirical research on the drivers of multi-factor productivity (MFP) is abundant at the firm- and industry level but surprisingly little research has been conducted on the determinants of MFP at the macroeconomic level. In this paper, we seek to understand the drivers of country-level MFP with a...

Previous work has documented a greater sensitivity of long-term government bond yields to fundamentals in Euro area stress countries during the euro crisis, but we know little about the driver(s) of regime-switches. Our estimates based on a panel smooth threshold regression model quantify and...