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produce more radical forecasts. Since these more radical forecasts are in general less accurate, ex post forecast accuracy …
Persistent link: https://www.econbiz.de/10013311875
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/10013227225
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/10013311890
and autocorrelation of error. The marginal forecast errors tend to increase, and the correlations between predictions and …
Persistent link: https://www.econbiz.de/10013231598
limitations must be recognized. Compilation of consistent forecast records extending over longer periods of tine is necessary to …
Persistent link: https://www.econbiz.de/10013215728
inserted into these images where the recent data are most similar to the historical data. This amounts to a forecast. The … traditional probit model used to forecast recessions inappropriately treats every observation as a separate experiment. This new …
Persistent link: https://www.econbiz.de/10014080445
For many years a system of leading, coincident, and lagging economic indicators, first developed in the 1930s by the National Bureau of Economic Research (NBER), has been widely used in the United States to appraise the state of the business cycle. Since 1961 the current monthly figures for...
Persistent link: https://www.econbiz.de/10013249718
actual and forecast series integrated of the same order; (ii) are they cointegrated, and; (iii) is the cointegrating vector …
Persistent link: https://www.econbiz.de/10013224861
This paper develops a vector autoregression (VAR) for time series which are observed at mixed frequencies - quarterly and monthly. The model is cast in state-space form and estimated with Bayesian methods under a Minnesota-style prior. We show how to evaluate the marginal data density to...
Persistent link: https://www.econbiz.de/10013071894
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/10012987123