most citedBinary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

econ.EM2020★ 4 cited

Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness

Andrii Babii, Xi Chen, Eric Ghysels +1

We study the binary choice problem in a data-rich environment with asymmetric loss functions. The econometrics literature covers nonparametric binary choice problems but does not o…

math.ST2019

Isotonic Regression Discontinuity Designs

Andrii Babii, Rohit Kumar

This paper studies the estimation and inference for the isotonic regression at the boundary point, an object that is particularly interesting and required in the analysis of monoto…