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Title: Structural interpretation of vector autoregressions with incomplete identification Authors:  Christiane Baumeister - University of Notre Dame (United States) [presenting]
James Hamilton - University of California at San Diego (United States)
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.