Faculty Directors

Description

Government agencies and modern businesses, from banks and online retailers to social media platforms and search engines, are amassing an unprecedented wealth of data in terms of both size and level of detail. This rapidly growing wealth of “big data” provides new opportunities to improve the quality of economic analysis. This initiative explores the ability of big data to fulfill this promise, with the help of newly developed econometric tools.

Associated Scholars

Associated Working Papers

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

Associated News

Media Mention Oct 24, 2019

The Tipping System Is Immoral

New York Times; John List
BFI News Feb 20, 2018

Spotlight on BFI’s New Research Initiative to Study Big Data

The Becker Friedman Institute (BFI) launched four new research initiatives earlier this year to support collaborative research and learning around several key issues, including: the study of Big Data;...