1 citations · 1 across the 3 of their papers we have counts for
3 papers
econ.EM2026
Identification and Inference for Algorithmic Frontiers with Selective Labels
Yiqi Liu, Francesca Molinari, Amilcar Velez
This paper provides identification results to characterize a fairness-accuracy (FA) frontier, and statistical inference tools to test hypotheses and build a confidence set for the…
econ.EM2024★ 1 cited
Inference for an Algorithmic Fairness-Accuracy Frontier
Yiqi Liu, Francesca Molinari
Algorithms are increasingly used to aid with high-stakes decision making. Yet, their predictive ability frequently exhibits systematic variation across population subgroups. To ass…
econ.EM2020
Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem
Charles F. Manski, Francesca Molinari
As a consequence of missing data on tests for infection and imperfect accuracy of tests, reported rates of population infection by the SARS CoV-2 virus are lower than actual rates…