40 citations · 44 across the 3 of their papers we have counts for
4 papers
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
George Gui, Olivier Toubia
Large Language Models (LLMs) have shown impressive potential to simulate human behavior. We identify a fundamental challenge in using them to simulate experiments: when LLM-simulat…
Auction Throttling and Causal Inference of Online Advertising Effects
George Gui, Harikesh Nair, Fengshi Niu
Causally identifying the effect of digital advertising is challenging, because experimentation is expensive, and observational data lacks random variation. This paper identifies a…
A Memo on the Proof-of-Stake Mechanism
George Gui, Ali Hortacsu, Jose Tudon
We analyze the economic incentives generated by the proof-of-stake mechanism discussed in the Ethereum Casper upgrade proposal. Compared with proof-of-work, proof-of-stake has a di…
Finding Exogenous Variation in Data
Eliot Abrams, George Gui, Ali Hortacsu
We reconsider the classic problem of recovering exogenous variation from an endogenous regressor. Two-stage least squares recovers exogenous variation through presuming the existen…