We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with …-sectional (N) and time (T) dimensions and varying degrees of parameter heterogeneity. We investigate conditions under which panel …

. To this end, I use a novel panel-data set and estimate fixed-effects models taking into account panel-corrected standard …

We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic …. We apply the new alogrithm by nowcasting output growth with a panel of 102 countries and are able to significantly …