Working Papers

These papers are working drafts of research which often appear in final form in academic journals. The published versions may differ from the working versions provided here.

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Mohsen Bayati, Michael Aratow, Danqi Luo, Erica Plambeck
2021
This paper provides evidence that the arrival of an additional low-acuity patient substantially increases the wait time to start of treatment for high-acuity patients, contradicting the long-standing prior conclusion in the medical literature that the eect is...
Jose H. Blanchet, Martin I. Reiman, Virag Shah, Lawrence M. Wein, Linjia Wu
December 7, 2020

We consider a matching market where buyers and sellers arrive according to independent Poisson processes at the same rate and independently abandon the market if not matched after an exponential amount of time with the...

Aldo Carranza, Marcel Goic, Eduardo Lara, Marcelo Olivares, Gabriel Weintraub, Julio Covarrubia, Cristian Escobedo, Natalia Jara, Leonardo J. Basso
September 12, 2020

Shelter-in-place and lockdowns have been some of the main non-pharmaceutical interventions that governments around the globe have implemented to contain the COVID-19 pandemic. In this paper we study the impact of such interventions in the...

Bar Light, Gabriel Weintraub
June 4, 2020

The standard solution concept for stochastic games is Markov perfect equilibrium (MPE); however, its computation becomes intractable as the number of players increases. Instead, we consider mean field equilibrium (MFE) that has been popularized in...

Kostas Bimpikis, Yiangos Papanastasiou, Wenchang Zhang
June 2020

While information design has gained significant attention in the recent literature as a tool for shaping consumers’ purchase behavior, little is known about its use and implications in two-sided marketplaces, where both supply and demand...

VItor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
February 2020

Adaptive experiment designs can dramatically improve statistical efficiency in randomized trials, but they also complicate statistical inference. For example, it is now well known that the sample mean is biased in adaptive trials. Inferential challenges...

Yonatan Gur, Ahmadreza Momeni
2020

Sequential experiments are often designed to strike a balance between maximizing immediate payoffs based on available information, and acquiring new information that is essential for maximizing future payoffs. This trade-off is captured by the multi-armed...

Kostas Bimpikis, Wedad J. Elmaghraby, Ken Moon, Wenchang Zhang
2020

Platforms can obtain sizable returns by operationally managing their market thickness, i.e., the availability of supply-side inventory. Using data from a natural experiment on a major B2B auction platform specializing in the $424 billion secondary...

Yonatan Gur, Gregory Macnamara, Daniela Saban
2020
In many marketplaces that facilitate trade with the objective of maximizing consumer surplus, prices are set by revenue-maximizing sellers but platforms can influence prices through (i) price-dependent promotion policies that can increase demand for a product...
Yonatan Gur, Gregory Macnamara, Daniela Saban
2020

We study the design of sequential procurement strategies that integrate stochastic and strategic information. We consider a buyer who repeatedly demands a certain good and is unable to commit to long-term contracts. In each time...

Yonatan Gur, Ahmadreza Momeni, Stefan Wager
2020

We study a non-parametric multi-armed bandit problem with stochastic covariates, where a key complexity driver is the smoothness of payoff functions with respect to covariates. Previous studies have focused on deriving minimax-optimal algorithms in cases...

Yonatan Gur, Dan A. Iancu, Xavier Warnes
2020

Centralized planning systems routinely allocate tasks to workers or service providers in order to generate the maximum possible value. These allocations can also critically influence the service providers’ well-being, and thus the planning systems are...

Ramesh Johari, Bar Light, Gabriel Weintraub
December 4, 2019

Online platforms collect rich information about participants, and then share this information back with participants to improve market outcomes. In this paper we study the following information disclosure problem of a two-sided market: how much...

Daniela Saban, Gabriel Weintraub
August 2019

Part of thesis finalist of 2015 INFORMS George Dantzig Dissertation Award. Second place 2015 M&SOM Student Paper Competition

Problem definition: We consider the problem faced by a procurement agency that runs an auctiontype mechanism to...

Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager
August 2019

Many learning algorithms require categorical data to be transformed into real vectors before it can be used as input. Often, categorical variables are encoded as one-hot (or dummy) vectors. However, this mode of representation can...

Dirk Bergemann, Francisco Castro, Gabriel Weintraub
June 18, 2019

We study the classic sequential screening problem in the presence of ex-post participation constraints. We establish necessary and sufficient conditions that determine exhaustively when the optimal selling mechanism is either static or sequential. In the...

Lawrence M. Wein, Abbas Kazerouni
May 2019

Submitted to Operations Research

Motivated by drug design, we consider the best-arm identification problem in generalized linear bandits. More specifically, we assume each arm has a vector of covariates, there is an unknown vector of...

Dmitry Arkhangelsky, Susan Athey, David A. Hirshberg, Guido W. Imbens, Stefan Wager
February 1, 2019

We present a new perspective on the Synthetic Control (SC) method as a weighted least squares regression estimator with time fixed effects and unit weights. This perspective suggests a generalization with two way (both unit...

Susan Athey, Zhengyuan Zhou, Stefan Wager
October 10, 2018

In many settings, a decision-maker wishes to learn a rule, or policy, that maps from observable characteristics of an individual to an action. Examples include selecting offers, prices, advertisements, or emails to send to consumers,...

John R. Birge, Ozan Candogan, Hongfan Chen, Daniela Saban
September 30, 2018

Two salient features of most online platforms are that they do not dictate the transaction prices, and use commissions/subscriptions for extracting revenues. We consider a platform that charges commission rates and subscription fees to sellers...