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econ.GN2026
How to deal with machine learning bias in economic history
Torben S. D. Johansen, Julius Koschnick, Christian Vedel
Machine learning (ML) has rapidly transformed economic history, lowering costs of digitization, data linkage, and imputation, and making information in historical text usable at sc…
econ.EM2026
Group-Level Treatment Effect Heterogeneity in Difference-in-Differences: A Balanced Approach
Nora Bearth, Nadja van 't Hoff, Torben S. D. Johansen
Understanding how treatment effects vary across groups is central to policy evaluation. In Difference-in-Differences designs, heterogeneity is often studied using subgroup or tripl…