Evaluating Wall Street Journal survey forecasters: a multivariate approach
This paper proposes a methodology for assessing the joint performance of multivariate forecasts of economic variables. The methodology is illustrated by comparing the rankings of forecasters by the Wall Street Journal with the authors’ alternative rankings. The results show that the methodology can provide useful insights as to the certainty of forecasts as well as the extent to which various forecasts are similar or different.
|Date of creation:||2002|
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- John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, issue Q1, pages 4-18.
- Daniel F. Waggoner & Tao Zha, 1998.
"Conditional forecasts in dynamic multivariate models,"
FRB Atlanta Working Paper
98-22, Federal Reserve Bank of Atlanta.
- Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
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