Maximum Likelihood Estimation of Differentiated Products Demand Systems (with Bora Ozaltun and Giorgos Zervas) .

Online Search and Product Rankings: A Double Index Approach (with Giovanni Compiani, Sida Peng and Will Wang) .

Estimating the long-term effects of novel treatments (with Keith Battochi, Eleanor Dillon, Maggie Hei, Miruna Oprescu and Vasilis Syrgkanis) .

Double/Debiased Machine Learning for Dynamic Treatment Effects via g-estimation (with Vasilis Syrgkanis) .

Learning Product Characteristics and Consumer Preferences from Search Data (with Luis Armona and Giorgos Zervas).

Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models (with Daniel Chen and Kevin Chen).

Voluntary Disclosure and Personalized Pricing (with Nageeb Ali and Shoshanna Vasserman), R&R at RESTUD .

You Can Lead a Horse to Water: Spatial Learning and Path Dependence in Consumer Search (with Charles Hodgson), R&R at ECMA .

Minimax Estimation of Conditional Moment Models (with Nishanth Dikkala, Lester Mackey and Vasilis Syrgkanis) , NeurIPS 2020 .

Dynamic Demand Estimation in Auction Markets (with Matt Backus), R&R at RESTUD .

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments (with Keith Battochi, Maggie Hei, Victor Lei, Miruna Oprescu and Vasilis Syrgkanis), NeurIPS 2019 .

Semi-Parametric Efficient Policy Learning with Continuous Actions (with Victor Chernozhukov, Mert Demirer and Vasilis Syrgkanis) , NeurIPS 2019 .

Non-Parametric Inference Adaptive to Intrinsic Dimension (with Khashayar Khosravi and Vasilis Syrgkanis).

Adversarial Generalized Method of Moments (with Vasilis Syrgkanis) .

Just starting out: Learning and equilibrium in a new market (with Ulrich Doraszelski and Ariel Pakes), AER (lead article) .

Counterfactual Prediction with Deep Instrumental Variables Networks (with Jason Hartford, Kevin Leyton-Brown and Matt Taddy) , ICML 2017 .

A Price Theoretic Model of Search Intermediation by Online Platforms (with Gleb Romanyuk and Albert Wang) .

Buy-it-now or Take-a-chance: Price Discrimination through Randomized Auctions (with Elisa Celis, Markus Mobius and Hamid Nazerzadeh), Management Science .

Moral Hazard, Incentive Contracts and Risk: Evidence from Procurement (with Patrick Bajari), RESTUD .

Student Portfolios and the College Admissions Problem (with Hector Chade and Lones Smith), RESTUD .

Procurement with Time Incentives: Theory and Evidence (with Patrick Bajari), QJE .

Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors, AER .