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Previous findings indicate that the inclusion of dynamic factors obtained from a large set of predictors can improve macroeconomic forecasts. In this paper, we explore three possible further developments: (i) using automatic criteria for choosing those factors which have the greatest predictive...
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We assess the contribution of national (country-wide) and international data to the task of forecasting the real GDP of Canadian provinces. Using the targeting predictors approach of Bai and Ng (2008) [Bai, J., Ng, S., 2008. Forecasting economic time series using targeted predictors. Journal of...
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We adopt a series of shrinkage and factor analytic methodologies to compute nowcasts of the main Finnish turnover …
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- depending on the employed shrinkage method. …
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to supplement the literature by studying the class of OLS post-selection estimators. Inspired by the shrinkage averaging … estimator (SAE) and the Mallows model averaging (MMA) estimator, we further propose a shrinkage MMA (SMMA) estimator for …
Persistent link: https://www.econbiz.de/10012611180
estimators to explain the cryptocurrencies' returns. We further introduce a novel model averaging approach or the shrinkage …
Persistent link: https://www.econbiz.de/10012611490
deal with a large number of possible predictors, we specify a prior that allows for both variable selection and shrinkage …
Persistent link: https://www.econbiz.de/10012144690