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American Economic Review Vol. 101 No. 3 2011

Forecasting Gasoline Prices Using Consumer Surveys

Soren T. Anderson1; Ryan Kellogg2; James M. Sallee3; Richard T. Curtin4

1 Department of Economics and Department of Agricultural, Food, and Resource Economics, Michigan State University, and NBER, 18C Marshall-Adams Hall, Michigan State University, East Lansing, MI 48824-1038. · 2 Department of Economics, University of Michigan, and NBER, 238 Lorch Hall, 611 Tappan St., Ann Arbor, MI 48109-1220. · 3 The Harris School, University of Chicago, and NBER, 1155 E. 60th Street, Chicago, IL 60637. · 4 Institute for Social Research, University of Michigan. P.O. Box 1248, Ann Arbor, MI 48106-1248.

Abstract

This paper analyzes the predictive power of a new data set of consumer gasoline price forecasts taken from the Michigan Survey of Consumers (MSC). MSC data generally perform as well as a no-change forecast in predicting future gasoline prices, and they substantially out-perform the no-change forecast during the recent economic crisis, during which time they track futures market prices. Finally, the cross-respondent dispersion of the MSC forecasts increases substantially during the economic crisis, paralleling the large increase in price volatility at this time.

DOI
10.1257/aer.101.3.110
Volume
101
Issue
3
Pages
110-114
Language
en
Sources
bibtex:phds-export.bib crossref openalex

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