Develops optimal encouragement policies distinguishing responsiveness from efficacy, targeting induced take-up for fairness under budget constraints in non-adherence settings.
arXiv preprint arXiv:2106.05498 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
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Perspective paper proposing an integrated framework for automated decision systems that shifts priority from prediction accuracy to accounting for changes in organizational workflows and intervention effects.
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Mind the Gap: Optimal and Equitable Encouragement Policies
Develops optimal encouragement policies distinguishing responsiveness from efficacy, targeting induced take-up for fairness under budget constraints in non-adherence settings.
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Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems
Perspective paper proposing an integrated framework for automated decision systems that shifts priority from prediction accuracy to accounting for changes in organizational workflows and intervention effects.
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