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and autocorrelation of error. The marginal forecast errors tend to increase, and the correlations between predictions and …
Persistent link: https://www.econbiz.de/10012478266
models when measured by root mean square errors, especially over long-run forecast horizons. The model is shown to be capable …
Persistent link: https://www.econbiz.de/10012456277
environment, leading to real-time forecast improvements relative to other methods of density forecast combination, such as …
Persistent link: https://www.econbiz.de/10012458090
Persistent link: https://www.econbiz.de/10013456813
-year VIX and our survey-based measure of firm-level uncertainty at a one-year forecast horizon doubled at the onset of the …
Persistent link: https://www.econbiz.de/10013191053
to the median forecast from the Survey of Professional Forecasters (SPF). While the MF-VAR performed poorly during 2020:Q …
Persistent link: https://www.econbiz.de/10012794563
This paper focuses on the problem of formulating an analysis of economic policy that is consistent with rational expectations. Cooley, LeRoy,and Raymon show that the Lucas and Sargent strategy for econometric policy evaluation is itself vulnerable to the logic of the Lucas critique. The present...
Persistent link: https://www.econbiz.de/10012477709
surveys provide unique informationon probabilistic forecast distributions reported by a large number of individuals for …
Persistent link: https://www.econbiz.de/10012477929
at the time of the forecast. The frequencies of significant auto-correlations among errors so measured vary greatly …
Persistent link: https://www.econbiz.de/10012478033
This paper reports on a comprehensive study of the distributions of summary measures of error for a large collection of quarterly multiperiod predictions of six variables representing inflation, real qrowth, unemployment,and percentage changes in nominal GNP and two of its more volatile...
Persistent link: https://www.econbiz.de/10012478052