Date Thesis Awarded

4-2016

Document Type

Honors Thesis

Degree Name

Bachelors of Arts (BA)

Department

Economics

Advisor

Lance Kent

Committee Member

Robert Hicks

Committee Member

Nathaniel Throckmorton

Committee Member

Ross Iaci

Abstract

This paper uses a linear projection method proposed by Jorda (2005) to model how the United States business cycle affects the response of output to positive oil price shocks. I use a nonlinear specification for oil price increases, intro- duced by Lee, Ni, and Ratti (1995), which internalizes a number of popular theories in the macroeconomic literature for the determinants of the magni- tude of the oil-output response. I first confirm the results of Lee, Ni, and Ratti (1995), that conditional expected volatility of oil price predictions at the time are important for the output response, with more recent data and an alternate estimation framework. Using a model that allows for coefficient state- switching between periods of low and high output growth, I show that output may be more vulnerable to unexpected oil price increases in the quarters immediately preceding NBER recession periods, although output still does not appear more vulnerable in the recession itself. I lastly discuss what these results indicate regarding possible interpretations of several popular theories of the oil-output response mechanism.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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