BFI Working Papers

Sharing research in progress—and refining it through rigorous discussion and debate—is a hallmark of scholarship at the Becker Friedman Institute for Economics.
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BFI Working Paper Mar 31, 2023

Prediction When Factors are Weak

Stefano Giglio, Dacheng Xiu, Dake Zhang
Topics:  Uncategorized
BFI Working Paper Feb 13, 2023

Covariate Adjustment in Experiments with Matched Pairs

Yuehao Bai, Liang Jiang, Joseph P. Romano, Azeem Shaikh, Yichong Zhang
Topics:  Uncategorized
BFI Working Paper Nov 12, 2021

Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties

Sergei Bazylik, Magne Mogstad, Joseph P. Romano, Azeem Shaikh, Daniel Wilhelm
Topics:  Uncategorized
BFI Working Paper Jul 7, 2021

Test Assets and Weak Factors

Stefano Giglio, Dacheng Xiu, Dake Zhang
Topics:  Financial Markets
BFI Working Paper Feb 3, 2021

Teams: Heterogeneity, Sorting, and Complementarity

Stéphane Bonhomme
Topics:  Uncategorized
BFI Working Paper Oct 16, 2020

How Well Generative Adversarial Networks Learn Distributions

Tengyuan Liang
Topics:  Technology & Innovation
BFI Working Paper Oct 16, 2020

Estimating Certain Integral Probability Metrics (IPMs) Is as Hard as Estimating under the IPMs

Tengyuan Liang
Topics:  Technology & Innovation
BFI Working Paper Oct 16, 2020

A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-L1-Norm Interpolated Classifiers

Tengyuan Liang, Pragya Sur
Topics:  Technology & Innovation