The paper proposes an algorithm that uses forecast encompassing tests for combining forecasts. The algorithm excludes a forecast from the combination if it is encompassed by another forecast. To assess the usefulness of this approach, an extensive empirical analysis is undertaken using a U.S....

The global financial crisis highlighted that the financial system can be most vulnerable when it seems most stable. This paper models non-linear dynamics in banking. Small shocks can lead from an equilibrium with few bank defaults straight to a full freeze. The mechanism is based on...

This paper extends the analogy, previously established by Learner (1978a), between a Bayesian inference problem and an economics allocation problem to show that posterior modes can be interpreted as optimal outcomes of a bargaining game. This bargaining game, over a parameter value, is played...

This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information Bayesian Model Averaging (LIBMA) methodology and then test it using simulated data. Simulation...

Over the past decade, South Africa has attracted relatively little foreign direct investment (FDI), but considerable amounts of portfolio inflows. In this context, the objective of the paper is twofold: to identify the determinants of the level and composition of capital flows to emerging...

Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information...

This paper gauges the key determinants of China''s private consumption in relation to GDP using data on the Chinese economy and evidence from other countries'' experiences. The results suggest there is nothing ""special"" about consumption in China. Rather, the challenge is to explain why the...