| Title: | Evaluating Wall Street Journal Survey Forecasters: A Multivariate Approach |
| Author: | Eisenbeis, Robert; Waggoner, Daniel; Zha, Tao |
| Author Affiliation: | Federal Reserve Bank of Atlanta |
| Source: | Business Economics, July 2002, v. 37, iss. 3, pp. 11-21 |
| Publication Date: | July 2002 |
| Abstract: | 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 our 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. |
| Descriptors: | Forecasting and Other Model Applications General Aggregative Models: Forecasting and Simulation |
| Geographic Descriptors: | U.S. |
| ISSN: | 0007666X |
| Publication Type: | Journal Article |
| Availability: | http://www.nabe.com/pubs.htm |