As economic growth and energy consumption are strongly correlated, this research proposes a novel set of energy consumption indices (ECI) that leverages the mixing-frequency method to predict GDP growth rates. The findings demonstrate that the newly developed indices have strong predictive...

Our research focuses on forecasting the GDP growth rate by taking a considerable number of economic indicators from various frequencies into account within a new penalty-based mixed-frequency data model called the MIDAS-LASSO model. The empirical findings reveal that the MIDAS-LASSO model has a...