Business Cycles in an Oil Economy

35 Pages Posted: 1 Apr 2017

See all articles by Drago Bergholt

Drago Bergholt

Norges Bank

Vegard H. Larsen

BI Norwegian Business School, Department of Data Science and Analytics

Martin Seneca

Bank of England

Date Written: March 2017

Abstract

The recent oil price fall has created concern among policy makers regarding the consequences of terms of trade shocks for resource-rich countries. This concern is not a minor one - the world's commodity exporters combined are responsible for 15-20% of global value added. We develop and estimate a two-country New Keynesian model in order to quantify the importance of oil price shocks for Norway - a large, prototype petroleum exporter. Domestic supply chains link mainland (nonoil) Norway to the off-shore oil industry, while fiscal authorities accumulate income in a sovereign wealth fund. Oil prices and the international business cycle are jointly determined abroad. These features allow us to disentangle the structural sources of oil price fluctuations, and how they affect mainland Norway. The estimated model provides three key results. First, oil price movements represent an important source of macroeconomic volatility in mainland Norway. Second, while no two shocks cause the same dynamics, conventional trade channels make an economically less significant difference for the transmission of global shocks to the oil exporter than to oil importers. Third, the domestic oil industry's supply chain is an important transmission mechanism for oil price movements, while the prevailing fiscal regime provides substantial protection against external shocks.

Paper produced as part of the BIS Consultative Council for the Americas Research Network project "The Commodity Cycle: Macroeconomic and Financial Stability Implications"

Keywords: DSGE, small open economy, oil and macro, Bayesian estimation

JEL Classification: C11, E30, F41, F44

Suggested Citation

Bergholt, Drago and Larsen, Vegard H. and Seneca, Martin, Business Cycles in an Oil Economy (March 2017). BIS Working Paper No. 618, Available at SSRN: https://ssrn.com/abstract=2940914

Drago Bergholt (Contact Author)

Norges Bank ( email )

P.O. Box 1179
Oslo, N-0107
Norway

Vegard H. Larsen

BI Norwegian Business School, Department of Data Science and Analytics ( email )

Nydalsveien 37
Oslo, 0442
Norway

Martin Seneca

Bank of England

Threadneedle Street
London, EC2R 8AH
United Kingdom

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