New Research: Economic effects of shocks to oil supply and demand

James Hamilton [ucsd.edu] gives a nice overview on his own blog [econbrowser.com] of a new research paper [ucsd.edu, pdf] with Christiane Baumeister [sites.google.com] wherein they use a previously developed bayesian estimation method for VAR models on oil supply and demand shocks. The method allows for a generalisation and flexible adaptation of Killian (2009, AER [aeaweb.org]) and following articles.

Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks

Abstract

Traditional approaches to structural interpretation of vector autoregressions can be viewed as special cases of Bayesian inference arising from very strong prior beliefs about certain aspects of the model. These traditional methods can be generalized with a less restrictive Bayesian formulation that allows the researcher to summarize uncertainty coming not just from the data but also uncertainty about the model itself. We use this approach to revisit the role of shocks to oil supply and demand and conclude that oil price increases that result from supply shocks lead to a reduction in economic activity after a significant lag, whereas price increases that result from increases in oil consumption demand do not have a significant effect on economic activity.