The movements in oil prices are very complex and, therefore, seem to be unpredictable. However, one of the main challenges facing econometric models is to forecast such seemingly unpredictable economic series. Traditional linear structural models have not been promising when used for oil price...

Using the aggregate number of oil rigs as a proxy of oil investment, I evaluate the bidirectional relationship between oil prices and oil investment in OPEC and Non-OPEC countries. We take advantage of Bayesian estimation techniques and innovation accounting to incorporate the long run dynamics...

While autonomous central banks in large open economies are usually predisposed to use monetary rules to target inflation, output, and long-term interest rates, central banks in small open economies face peculiar challenges in their attempts to attain and maintain liquidity, stable prices and...

Knowledge about rig markets is crucial for understanding the global oil market. In this paper we first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation of floaters operating at the Norwegian Continental Shelf in the...

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...

This paper develops a long run growth model for a major oil exporting economy and derives conditions under which oil revenues are likely to have a lasting impact. This approach contrasts with the standard literature on the "Dutch disease" and the "resource curse", which primarily focus on short...