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popular approaches in this research field is given by Lasso-type methods. An alternative approach is based on information … criteria. In contrast to the Lasso, these methods also work well in the case of highly correlated predictors. However, this …
Persistent link: https://www.econbiz.de/10010580995
-Sampling approach (U-MIDAS) (see Foroni et al., 2015; Castle et al., 2009; Bec and Mogliani, 2013), and the LASSO-type penalised …
Persistent link: https://www.econbiz.de/10011307779
Since the influential paper of Stock and Watson (2002), the dynamic factor model (DFM) has been widely used for forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor model is modified by using the mixed data sampling...
Persistent link: https://www.econbiz.de/10011567405
partial least squares and LASSO appear most promising. Also, the forecast potential of Google search terms vis-avis survey …
Persistent link: https://www.econbiz.de/10011667607
This study analyzes global inflation synchronization and derives policy implications for the Korean economy. Unlike previous studies that assume a single global inflation factor, this study investigates if inflation in Korea can be explained further by other global inflation factors. Our...
Persistent link: https://www.econbiz.de/10012298159
time after others. In particular, we propose a penalized (LASSO) regression with an error correction mechanism to construct …
Persistent link: https://www.econbiz.de/10012817060
Persistent link: https://www.econbiz.de/10011527221
-Sampling approach (U-MIDAS) (see Foroni et al., 2015; Castle et al., 2009; Bec and Mogliani, 2013), and the LASSO-type penalised …
Persistent link: https://www.econbiz.de/10010498420