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 Apr 26, 2023

Bloated Disclosures: Can ChatGPT Help Investors Process Information?

Alex G. Kim, Maximilian Muhn, Valeri Nikolaev
Topics:  Technology & Innovation
BFI Working Paper Apr 25, 2023

How Important Is Corporate Governance? Evidence from Machine Learning

Ian D. Gow, David F. Larcker, Anastasia A. Zakolyukina
Topics:  Technology & Innovation
BFI Working Paper Apr 25, 2023

Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data

Tesary Lin, Avner Strulov-Shlain
Topics:  Technology & Innovation
BFI Working Paper Mar 13, 2023

Machine Learning as a Tool for Hypothesis Generation

Jens Ludwig, Sendhil Mullainathan
Topics:  Technology & Innovation
BFI Working Paper Feb 20, 2023

Automating Automaticity: How the Context of Human Choice Affects the Extent of Algorithmic Bias

Amanda Agan, Diag Davenport, Jens Ludwig, Sendhil Mullainathan
Topics:  Technology & Innovation
BFI Working Paper Dec 19, 2022

Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments

John List, Ian Muir, Gregory K. Sun
Topics:  Technology & Innovation
BFI Working Paper Sep 19, 2022

The Human Perils of Scaling Smart Technologies: Evidence from Field Experiments

Alec Brandon, Christopher M. Clapp, John List, Robert D. Metcalfe, Michael Price
Topics:  Technology & Innovation
BFI Working Paper Sep 19, 2022

Can Stablecoins Be Stable?

Adrien d'Avernas, Vincent Maurin, Quentin Vandeweyer
Topics:  Technology & Innovation