We study the inflation uncertainty reported by individual forecasters in the Survey of Professional Forecasters 1969-1999. Three popular methods of estimating uncertainty from survey data are analysed in the context of models for forecasting and asset pricing. We find that inflation uncertainty fluctuates over time in a way that traditional time series models fail to capture. Instead, uncertainty is highly correlated with the level of inflation, in particular with recent positive inflation surprises. We also find that disagreement among forecasters increases with the inflation rate and causes above-average fluctuations in individual uncertainty.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
2499.
Find related papers by JEL classification: C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Christoffersen, Peter F, 1998.
"Evaluating Interval Forecasts,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-62, November.
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