Dear All,
This is a reminder about the next session of the Workshop on Behavioral and Experimental Economics of the Americas. Tomorrow, Feb 27, we will meet at 1 PM Eastern / 10 AM Pacific. Greg Leo from Vanderbilt University will present his paper titled “Minimal Experiments.” See the details in the invitation email below.
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Dear All,
We are excited to announce the start of the Winter-Spring 2024 Workshop on Experimental and Behavioral Economics of the Americas (WEBEA, www.webeas.org). This online workshop series is a joint effort of economics faculty at Carleton University (Canada), George Mason University (US), Instituto Tecnológico Autónomo de México-ITAM (México), University of California Santa Cruz (US), Universidad del Pacífico (Perú) and Universidad de los Andes (Colombia).
This cycle, the workshop is coordinated by Kristian López Vargas (University of California Santa Cruz, US) and Miguel Martínez-Carrasco (Universidad de los Andes, Colombia). As always, we aim to invite researchers with remarkable work on experimental, behavioral, and theoretical economics to promote the academic dialogue among researchers and students from both hemispheres.
Our first session is scheduled for this Tuesday, February 27, at 1 PM ET, and we are honored to have Greg Leo from Vanderbilt University present his talk titled “Minimal Experiments.” This is joint work with PJ. Healy. See the abstract below.
Session Details:
Please mark your calendars. We look forward to seeing everyone in the workshop!
Best,
The Organizing Committee
To invite someone to sign up to receive the seminar announcements, you can share this link: https://forms.gle/h9S18eKBUHtXFAFFA
Thank you!
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Talk details:
Author(s): P.J. Healy and Greg Leo
Title: Minimal Experiments
Abstract: Given a parameterized model of preferences, what choice data or experiment would identify an agent’s parameter value in that model? Similarly, what data would be sufficient for testing definitely whether an agent is consistent with the model? We identify a method for finding experiments that will either classify or test a given model. We do so using a novel graph-theoretic construction: The labeled permutohedron. We then provide an algorithm that finds the “smallest” such experiment for any model.