Publication | Closed Access
Forecasting Gasoline Prices Using Consumer Surveys
80
Citations
6
References
2011
Year
Forecasting MethodologyEngineeringMichigan SurveyTime Series EconometricsEconomic ForecastingAsset PricingData ScienceEconomic AnalysisStatisticsEconomicsPredictive AnalyticsDemand ForecastingForecastingFinanceIntelligent ForecastingGasoline PricesBusinessEconometricsPrice VolatilityMsc DataBusiness Forecasting
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.
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