activity
20192026
most citedBeckmann's approach to multi-item multi-bidder auctions

4 citations · 6 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CY2026

The Cross-Section of Stock Returns and AI Exposure

Nicola Borri, Yukun Liu, Aleh Tsyvinski

We study 380 trillion tokens of realized AI consumption across more than four hundred LLMs. We build a high-frequency AI factor and show that a long-short strategy based on firms'…

econ.TH2026

Trading Frictions in Dynamic Cap-and-Trade Markets

Nicola Borri, Yukun Liu, Aleh Tsyvinski +1

Using 2.8 million EU ETS transactions and compliance records, 2005-2022, we document three facts about the world's largest carbon market: each year, 37% of regulated operators do n…

econ.EM2026

Triple/Double-Debiased Lasso

Denis Chetverikov, Jesper R. -V. Sørensen, Aleh Tsyvinski

In this paper, we propose a triple (or double-debiased) Lasso estimator for inference on a low-dimensional parameter in high-dimensional linear regression models. The estimator is…

econ.GN2025

Multidimensional Sorting: Comparative Statics

Job Boerma, Andrea Ottolini, Aleh Tsyvinski

Characterizing multidimensional sorting problems is notoriously difficult - solutions are known only for a small number of examples. Our main results completely characterize the co…

q-fin.GN2025

Cryptocurrency as an Investable Asset Class: Coming of Age

Nicola Borri, Yukun Liu, Aleh Tsyvinski +1

We organize existing empirical regularities of cryptocurrencies into seven stylized facts and analyze cryptocurrencies through the lens of empirical asset pricing. We find importan…

econ.EM2025

Higher-Order Asset Pricing Factors via Forward Selection Fama-MacBeth Regression

Nicola Borri, Denis Chetverikov, Yukun Liu +1

We show that the higher-order terms and interactions of the common sparse linear factors are significantly priced in the cross-section of equity returns. A higher-order model with…

q-fin.GN2024

Inefficiencies of Carbon Trading Markets

Nicola Borri, Yukun Liu, Aleh Tsyvinski +1

The European Union Emission Trading System is a prominent market-based mechanism to reduce emissions. While the theory is well understood, we are the first to study the whole cap-a…

q-fin.GN2024

One Factor to Bind the Cross-Section of Returns

Nicola Borri, Denis Chetverikov, Yukun Liu +1

We propose a new non-linear single-factor asset pricing model . Despite its parsimony, this model represents exactly any non-linear model with an arbit…

econ.GN2023

Composite Sorting

Job Boerma, Aleh Tsyvinski, Ruodu Wang +1

This paper introduces an assignment model with concave costs of skill gaps, which arise generally when firms mitigate costs of mismatch as in Stigler (1939) and Laffont and Tirole…

econ.GN2022★ 2 cited

Bunching and Taxing Multidimensional Skills

Job Boerma, Aleh Tsyvinski, Alexander P. Zimin

We characterize optimal policy in a multidimensional nonlinear taxation model with bunching. We develop an empirically relevant model with cognitive and manual skills, firm heterog…

econ.EM2022

Weighted-average quantile regression

Denis Chetverikov, Yukun Liu, Aleh Tsyvinski

In this paper, we introduce the weighted-average quantile regression framework, , where is a dependent variable, is a vector of covariates,…

econ.TH2022★ 4 cited

Beckmann's approach to multi-item multi-bidder auctions

Alexander V. Kolesnikov, Fedor Sandomirskiy, Aleh Tsyvinski +1

We consider the problem of revenue-maximizing Bayesian auction design with several bidders having independent private values over several items. We show that it can be reduced to t…

econ.GN2021

Sorting with Teams

Job Boerma, Aleh Tsyvinski, Alexander P. Zimin

We fully solve a sorting problem with heterogeneous firms and multiple heterogeneous workers whose skills are imperfect substitutes. We show that optimal sorting, which we call mix…

econ.TH2021

Policy with stochastic hysteresis

Georgii Riabov, Aleh Tsyvinski

The paper develops a general methodology for analyzing policies with path-dependency (hysteresis) in stochastic models with forward looking optimizing agents. Our main application…

econ.TH2020

On Vickrey's Income Averaging

Stefan Steinerberger, Aleh Tsyvinski

We consider a small set of axioms for income averaging -- recursivity, continuity, and the boundary condition for the present. These properties yield a unique averaging function th…

econ.TH2019

Tax Mechanisms and Gradient Flows

Stefan Steinerberger, Aleh Tsyvinski

We demonstrate how a static optimal income taxation problem can be analyzed using dynamical methods. Specifically, we show that the taxation problem is intimately connected to the…