This paper revisits inflation forecasting using reduced form Phillips curve forecasts, i.e., inflation forecasts using activity and expectations variables. We propose a Phillips curve-type model that results from averaging across different regression specifications selected from a set of...

Currency market intervention-cum-reserve accumulation has emerged as the favored selfinsurance strategy in recipient countries of excessive private capital inflows. This paper argues that capital account management represents a less costly alternative line of defense deserving renewed...

We use a dynamic general-equilibrium model to study how removing barriers to competition in the nontraded goods sector affects the current account of a small open economy. We show that the expansion of the nontraded sector that results from such a "deregulation shock" is associated with an...

During the 2011-2015 period, Turkey's current account deficit as a percentage of GDP was one of the largest among the OECD countries. In this paper, we examine if this deficit can be considered sustainable using the Engel and Rogers (2006) approach. In this framework, the current account of a...

We investigate the role of budget balances, financial development and openness, in the evolution of global imbalances. Financial development or the lack thereof has received considerable attention as a possible contributing factor to the development of persistent and expanding current account...

The increasing availability of data and potential predictor variables poses new challenges to forecasters. The task of formulating a single forecasting model that can extract all the relevant information is becoming increasingly difficult in the face of this abundance of data. The two leading...

Large scale Bayesian model averaging and variable selection exercises present, despite the great increase in desktop computing power, considerable computational challenges. Due to the large scale it is impossible to evaluate all possible models and estimates of posterior probabilities are...

We consider forecast combination and, indirectly, model selection for VAR models when there is uncertainty about which variables to include in the model in addition to the forecast variables. The key di erence from traditional Bayesian variable selection is that we also allow for uncertainty...

We propose new forecast combination schemes for predicting turning points of business cycles. The combination schemes deal with the forecasting performance of a given set of models and possibly providing better turning point predictions. We consider turning point predictions generated by...

We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil using a combination of probabilistic individual model forecasts. Our combination method extends earlier approaches that have been applied to oil price forecasting, by allowing...