. 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 …

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 …

The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed …) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as … these have become increasingly important in applied work. Second, we build on a bias-reduction approach originally developed …