Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?
Allan Timmermann (),
Graham Elliott () and
No 601, Econometric Society 2004 North American Summer Meetings from Econometric Society
Survey data on expectations frequently find evidence that forecasts are biased, rejecting the joint hypothesis of rational expectations and symmetric loss. While the literature has attempted to explain this bias through forecasters' strategic behavior, we propose a simpler explanation based on asymmetric loss. We establish that existing rationality tests are not robust to even small deviations from symmetry and hence have little ability to tell whether the forecaster is irrational or the loss function is asymmetric. We propose new and more general methods for testing forecast rationality jointly with flexible families of loss functions that embed quadratic loss as a special case. An empirical application to survey data on forecasts of nominal output growth shows strong evidence against rationality and symmetric loss. There is considerably weaker evidence against rationality once asymmetric loss is permitted
Keywords: rationality testing; forecasting; asymmetric loss (search for similar items in EconPapers)
JEL-codes: C53 E27 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ets and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17) Track citations by RSS feed
Downloads: (external link)
Journal Article: Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss? (2008)
Working Paper: BIASES IN MACROECONOMIC FORECASTS: IRRATIONALITY OR ASYMMETRIC LOSS? (2005)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ecm:nasm04:601
Access Statistics for this paper
More papers in Econometric Society 2004 North American Summer Meetings from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().