activity
20212026
most citedIdentification in the Random Utility Model

18 citations · 19 across the 9 of their papers we have counts for

collaborators

11 papers

cs.LG2026

The Accuracy Well: Nonmonotone Accuracy Dynamics at Vanishing Initialization

Yaroslav Gusev, Eugene Golikov, Dmitry Yarotsky

We study classification dynamics under small initialization and identify a pronounced non-monotone behavior of accuracy that we call the accuracy well: accuracy rises rapidly early…

econ.TH2026

In Search of Lost Correlation: Correlated Equilibrium via Marginal Actions

Christopher P. Chambers, Maxime Cugnon de Sévricourt, Christopher Turansick

In this paper, we study which data can be induced by a correlated equilibrium given a known finite simultaneous move game. We assume that an analyst has access to the frequency of…

econ.TH2026

Identification in Stochastic Choice

Peter Caradonna, Christopher Turansick

We characterize the identified sets of a wide range of stochastic choice models, including random utility, various models of boundedly-rational behavior, and dynamic discrete choic…

econ.TH2025

Revealed Social Networks

Christopher P. Chambers, Yusufcan Masatlioglu, Christopher Turansick

The linear-in-means model is the standard empirical model of peer effects and asks that an agent's choice or outcome is a combination of their ideal point and the mean outcome of t…

econ.TH2024

Consumption Dependent Random Utility

Christopher Turansick

We study a dynamic random utility model that allows for consumption dependence. We axiomatically analyze this model and find insights that allow us to distinguish between behavior…

econ.TH2024

Identifying Restrictions on the Random Utility Model

Peter P. Caradonna, Christopher Turansick

We characterize those ex-ante restrictions on the random utility model which lead to identification. We first identify a simple class of perturbations which transfer mass from a su…

econ.TH2024★ 1 cited

The Limits of Identification in Discrete Choice

Christopher P. Chambers, Christopher Turansick

This paper uncovers tight bounds on the number of preferences permissible in identified random utility models. We show that as the number of alternatives in a discrete choice model…

econ.TH2023

An Alternative Approach for Nonparametric Analysis of Random Utility Models

Christopher Turansick

We readdress the problem of nonparametric statistical testing of random utility models proposed in Kitamura and Stoye (2018). Although their test is elegant, it is subject to compu…

econ.TH2023

Intertemporal Aggregation of Choice Data with Consumption Dependent Preferences

Christopher Turansick

We study consumption dependence in the context of random utility and repeated choice. We show that, in the presence of consumption dependence, the random utility model is a misspec…

econ.TH2021

Correlated Choice

Christopher P. Chambers, Yusufcan Masatlioglu, Christopher Turansick

We study random joint choice rules, allowing for interdependence of choice across agents. These capture random choice by multiple agents, or a single agent across goods or time per…

econ.TH2021★ 18 cited

Identification in the Random Utility Model

Christopher Turansick

The random utility model is known to be unidentified, but there are times when the model admits a unique representation. We offer two characterizations for the existence of a uniqu…