From the 1 of 24 linked papers with an AI index.
5 citations · 10 across the 6 of their papers we have counts for
24 papers
Agentic Economic Modeling
Bohan Zhang, Jiaxuan Li, Ali Hortaçsu +4
The paper proposes Agentic Economic Modeling, a framework that uses large language models to generate synthetic choice data and then corrects it with a small human sample to improv…
Plausible GMM: A Quasi-Bayesian Approach
Victor Chernozhukov, Christian B. Hansen, Lingwei Kong +1
Structural estimation in economics often makes use of models formulated in terms of moment conditions. While these moment conditions are generally well-motivated, it is often unkno…
Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Victor Chernozhukov, Iván Fernández-Val, Chen Huang +1
The Arellano-Bond estimator is a fundamental method for dynamic panel data models, widely used in practice. It can be severely biased when the time series dimension of the data, $T…
An Introduction to Double/Debiased Machine Learning
Achim Ahrens, Victor Chernozhukov, Christian Hansen +3
This paper provides an introduction to Double/Debiased Machine Learning (DML). DML is a general approach to performing inference about a target parameter in the presence of nuisanc…
Adventures in Demand Analysis Using AI
Philipp Bach, Victor Chernozhukov, Sven Klaassen +3
This paper advances empirical demand analysis by integrating multimodal product representations derived from artificial intelligence (AI). Using a detailed dataset of toy cars on t…
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Patrick Bajari, Zhihao Cen, Victor Chernozhukov +8
We develop empirical models that efficiently process large amounts of unstructured product data (text, images, prices, quantities) to produce accurate hedonic price estimates and d…