This paper introduces a method for identifying and inferring the fairness-accuracy frontier, a concept crucial in econometrics. The proposed techniques allow for hypothesis testing and the construction of confidence sets for this frontier, particularly when outcome data is only available for a subset of individuals. The research provides a characterization of the identification region for the FA-frontier under specific selection processes and loss measurements, with extensions to broader loss functions currently in progress. AI
RANK_REASON The cluster contains a single academic paper published on arXiv, detailing new theoretical results in econometrics. [lever_c_demoted from research: ic=1 ai=0.4]
- alphaXiv
- arXiv
- arXivLabs
- CatalyzeX Code Finder for Papers
- CORE Recommender
- DagsHub
- econometrics
- FA-frontier
- Gotit.pub
- Hugging Face
- Influence Flower
- ScienceCast
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