Summary
Duncan Luce’s two part challenge is to move from deterministic to stochastic models of choice and to develop statistical methodology for these stochastic models. Theories of choice responding to the first part of his challenge include models of random utility maximization, random regret minimization, sequential elimination and heuristic choice. The workshop will feature contributions addressing either one or both parts of Luce’s challenge, from researchers in Economics, Psychology and related disciplines.
Topics include, but are not limited to : axiomatic approaches; testing implications of discrete choice theories and other conditions, such as random utility, regularity, and different kinds of stochastic transitivity; non-parametric inference; context dependent choices; individual choice, population choice, or aggregation issues.
Conference Venue
Hôtel de l’Institut
3535, rue Saint-Denis
6th floor, room Saint-Louis
Montréal (Québec)
Registration
Registration is free but required.
To register, please complete the registration form before October 10, 2018.
Program
Please click here to view the preliminary program.
Speakers and Discussants
Victor Aguiar (Western University)
Clintin Davis-Stober (University of Missouri)
Matthew Kovach (Virginia Tech)
Jay Lu (UCLA)
Sean Horan (Université de Montréal)
Paola Manzini (University of Sussex)
Yusufcan Masatlioglu (University of Maryland)
William McCausland (Université de Montréal)
Paulo Natenzon (Washington University in St. Louis)
John Rehbeck (Ohio State University)
Tomasz Strzalecki (Harvard University)
Elchin Suleymanov (University of Michigan)
Gerelt Tserenjigmid (Virginia Tech)
Levent Ülkü (ITAM)
Ryan Webb (University of Toronto)
