Evaluating inflation forecasts
AbstractIn the early 1980s, economists tested inflation forecasts and found that the forecasts were very bad. Either the surveys didn't capture forecasters' expectations, or forecasters didn't have rational expectations. However, the sample period being examined consisted mostly of data from the volatile 1970s, when forecasting was extremely difficult. The question is: If we run the same types of tests that were performed 15 years ago on an updated sample, will we find the same problems with the forecasts? This paper finds that much of the empirical work from 15 years ago does not stand the test of time. The forecast errors from the surveys aren't nearly as bad today as they were in the 1970s. However, some problems remain in the forecasts. It appears to be possible to improve inflation forecasts over some sample periods using bias regressions, and the forecasts don't pass all tests for optimality.
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Bibliographic InfoPaper provided by Federal Reserve Bank of Philadelphia in its series Working Papers with number 98-14.
Date of creation: 1998
Date of revision:
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- Dean Croushore, 1997. "The Livingston Survey: still useful after all these years," Business Review, Federal Reserve Bank of Philadelphia, issue Mar, pages 15-27.
- Whitney K. Newey & Kenneth D. West, 1986.
"A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix,"
NBER Technical Working Papers
0055, National Bureau of Economic Research, Inc.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
- Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
- Francis X. Diebold & Jose A. Lopez, 1995.
"Forecast evaluation and combination,"
9525, Federal Reserve Bank of New York.
- Brown, Bryan W & Maital, Shlomo, 1981. "What Do Economists Know? An Empirical Study of Experts' Expectations," Econometrica, Econometric Society, vol. 49(2), pages 491-504, March.
- Bryan, Michael F & Gavin, William T, 1986. "Models of Inflation Expectations Formation: A Comparison of Household and Economist Forecasts: A Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(4), pages 539-44, November.
- Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-53, October.
- Michael F. Bryan & Stephen G. Cecchetti, 1993.
"Measuring Core Inflation,"
NBER Working Papers
4303, National Bureau of Economic Research, Inc.
- Roy H. Webb, 1987. "The irrelevance of tests for bias in series of macroeconomic forecasts," Economic Review, Federal Reserve Bank of Richmond, issue Nov, pages 3-9.
- Dean Croushore, 1993. "Introducing: the survey of professional forecasters," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-15.
- Herb Taylor, 1992. "The Livingston Surveys: a history of hopes and fears," Business Review, Federal Reserve Bank of Philadelphia, issue Jan, pages 15-27.
- John A. Carlson, 1977. "A Study of Price Forecasts," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 6, number 1, pages 27-56 National Bureau of Economic Research, Inc.
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