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 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
BFI Working Paper Oct 16, 2020

Mehler’s Formula, Branching Process, and Compositional Kernels of Deep Neural Networks

Tengyuan Liang, Hai Tran-Bach
Topics:  Technology & Innovation
BFI Working Paper Oct 5, 2020

An Adversarial Approach to Structural Estimation

Tetsuya Kaji, Elena Manresa, Guillaume Pouliot
Topics:  Economic Mobility & Poverty
BFI Working Paper Sep 18, 2020

Inference for Large-Scale Linear Systems with Known Coefficients

Zheng Fang, Andres Santos, Azeem Shaikh, Alexander Torgovitsky
Topics:  Uncategorized