most citedFrom Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies

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econ.EM2025

Fairness-Aware and Interpretable Policy Learning

Nora Bearth, Michael Lechner, Jana Mareckova +1

Fairness and interpretability play an important role in the adoption of decision-making algorithms across many application domains. These requirements are intended to avoid undesir…

econ.EM2025

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies

Fabian Muny

Many programs evaluated in observational studies incorporate a sequential structure, where individuals may be assigned to various programs over time. While this complexity is often…