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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 …
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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 …
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