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Persistent link: https://www.econbiz.de/10010237930
This paper shows how to decompose weakly stationary time series into the sum, across time scales, of uncorrelated components associated with different degrees of persistence. In particular, we provide an Extended Wold Decomposition based on an isometric scaling operator that makes averages of...
Persistent link: https://www.econbiz.de/10012202240
We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an … input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results … unemployment rate series. We tested the forecasting ability of best univariate and best bivariate models over 60- and 120-period …
Persistent link: https://www.econbiz.de/10012214684
DIWAX is an agent-based software package designed to support macroeconomic forecasting based on national accounting …
Persistent link: https://www.econbiz.de/10010486105
The paper provides a disaggregated mixed-frequency framework for the estimation of GDP. The GDP is disaggregated into components that can be forecasted based on information available at higher sampling frequency, i.e., monthly, weekly, or daily. The model framework is applied for Greek GDP...
Persistent link: https://www.econbiz.de/10014506547
The number of short-time workers from January to April 2020 is used to now- and forecast quarterly GDP growth. We purge the monthly log level series from the systematic component to extract unexpected changes or shocks to log short-time workers. These monthly shocks are included in a univariate...
Persistent link: https://www.econbiz.de/10012392543
by the VAR model. The results indicate that the present model outperforms the VAR model in terms of forecasting GDP …
Persistent link: https://www.econbiz.de/10012265606
improves the forecasting of the aggregated series compared to using the aggregated series alone. We used econometric techniques …-horizon Superior Predictive Ability (uSPA) tests, used to select the best forecasting model by combining different horizons. Our sample … forecasting horizons that are more than one month ahead using the mean square error, and the aggregated ETS has better forecasting …
Persistent link: https://www.econbiz.de/10013355068
, including statistical misspecification, non-identification of deep parameters, substantive inadequacy, weak forecasting …
Persistent link: https://www.econbiz.de/10013355187
economic fundamentals. This study evaluated the predictive ability of the CCI in forecasting economic fluctuations in Nigeria … small. These results have important implications for the usefulness of CCI in planning and forecasting macroeconomic …
Persistent link: https://www.econbiz.de/10011473528