La science économique au service de la société
Damien Mayaux

Damien Mayaux

Doctorant

Paris School of Economics, EHESS

Campus Jourdan – 48 Boulevard Jourdan 75014 Paris

Bâtiment Oikos, 4e étage, bureau R4-73

Groupes de recherche : Comportements, bien-être et normes
  • Consommation
  • Economie expérimentale
  • Economie du changement climatique
  • Politiques de la concurrence
  • Economie comportementale

Directeur de thèse : Etilé Fabrice

Année académique d'inscription : 2021/2022

Titre de la thèse : Des outils numériques pour les choix alimentaires : information et régulation

My research interests lie at the intersection of empirical industrial organization and behavioural economics, with a specific focus on innovative policies regulating retail point of sales and applications to food consumption. Beside this research agenda, I also explore experimental approaches to analyze choice architectures, high-dimensional models of preferences based on machine learning and decision-theoretical models of attention in discrete choice settings.
Working Papers

Promoting Green Consumption in Retail Markets: Behavioural Interventions under Strategic Pricing [draft available upon request] Presented at: JMA 2022, EEA 2023, FAERE 2023, REECAP 2023.

Measuring Occupational Distances and the Aggregate Potential of Training Policies for Labor Force Reallocation (K. M. Frick, Y. Hazard and T. Zuber) [draft available upon request]

Work in Progress

Visual Marketing Cues: Welfare Effects and Regulation

Utility and Contrast in Horse-Race Models of Evidence Accumulation

Education

2021-present: PhD student (Paris School of Economics)

2019-2021: Master in Economics (Paris School of Economics)

2016-2019: Master in Mathematics (Ecole Normale Superieure Paris-Saclay)

- June 2019: Passed the "Agregation" national exam in Mathematics

- Winter 2017: Erasmus semester in the Master in Computer Science (RWTH Aachen)

2016: Bachelor in Mathematics and Computer Science (Ecole Normale Superieure Paris-Saclay)

Teaching

Spring 2021 & 2022: Tutorials in Optimization Theory for last-year undergraduates in Mathematics (!2 x 3 hours x 2 groups per semester). Lectures taught by Jean-Marc Bonnisseau (University Paris 1)