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20072026
most citedAn MCMC Approach to Classical Estimation

723 citations · 5.4k across the 110 of their papers we have counts for

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Showing econ.GNShow all

5 papers · 1 filter

econ.GN2025

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…

econ.GN2023★ 5 cited

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…

econ.GN2021★ 11 cited

Vector quantile regression and optimal transport, from theory to numerics

Guillaume Carlier, Victor Chernozhukov, Gwendoline De Bie +1

In this paper, we first revisit the Koenker and Bassett variational approach to (univariate) quantile regression, emphasizing its link with latent factor representations and correl…

econ.GN2021★ 13 cited

The Association of Opening K-12 Schools with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis

Victor Chernozhukov, Hiroyuki Kasahara, Paul Schrimpf

This paper empirically examines how the opening of K-12 schools and colleges is associated with the spread of COVID-19 using county-level panel data in the United States. Using dat…

econ.GN2020

Insights from Optimal Pandemic Shielding in a Multi-Group SEIR Framework

Philipp Bach, Victor Chernozhukov, Martin Spindler

The COVID-19 pandemic constitutes one of the largest threats in recent decades to the health and economic welfare of populations globally. In this paper, we analyze different types…