4 papers
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…
Synthetic Parallel Trends
Yiqi Liu
Popular empirical strategies for policy evaluation in the panel data literature -- including difference-in-differences (DID), synthetic control (SC) methods, and their variants --…
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…
Using Forests in Multivariate Regression Discontinuity Designs
Yiqi Liu, Yuan Qi
We discuss estimation and inference of conditional treatment effects in regression discontinuity (RD) designs with multiple scores. In addition to local linear regressions and the…