The short answer: I apply UWLS via {fixest} and then avg_predictions(). Outcomes are CATEs in the form of log risk ratios. Regressors are study variables. Looks something like the code attached. (wlsmra() is a custom function that builds on fixest::feols().)

Last week, @iza.org World of Labor published our policy article on hiring discrimination across vulnerable groups. In this article, we summarise insights from meta-research on the issue.