What Central Bankers Need to Know About Forecasting Oil Prices

21 Pages Posted: 30 Jul 2014

See all articles by Christiane Baumeister

Christiane Baumeister

University of Notre Dame; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR)

Lutz Kilian

University of Michigan at Ann Arbor - Department of Economics; Centre for Economic Policy Research (CEPR)

Multiple version iconThere are 2 versions of this paper

Date Written: August 2014

Abstract

Central banks routinely use short‐horizon forecasts of the quarterly price of oil in assessing the global and domestic economic outlook. We address a number of econometric issues specific to the construction of quarterly oil price forecasts in the United States and abroad. We show that quarterly forecasts of the real price of oil from suitably designed vector autoregressive models estimated on monthly data generate the most accurate real‐time forecasts overall among a wide range of methods, including quarterly averages of forecasts based on monthly oil futures prices, no‐change forecasts, and forecasts based on regression models estimated on quarterly data.

Suggested Citation

Baumeister, Christiane and Kilian, Lutz, What Central Bankers Need to Know About Forecasting Oil Prices (August 2014). International Economic Review, Vol. 55, Issue 3, pp. 869-889, 2014. Available at SSRN: https://ssrn.com/abstract=2473857 or http://dx.doi.org/10.1111/iere.12074

Christiane Baumeister (Contact Author)

University of Notre Dame ( email )

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National Bureau of Economic Research (NBER) ( email )

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Centre for Economic Policy Research (CEPR) ( email )

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Lutz Kilian

University of Michigan at Ann Arbor - Department of Economics ( email )

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Ann Arbor, MI 48109-1220
United States
734-764-2320 (Phone)
734-764-2769 (Fax)

Centre for Economic Policy Research (CEPR)

London
United Kingdom

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