Title: Multivariate Almost Stochastic Dominance: Transfer Characterizations and Sufficient Conditions under Dependence Uncertainty

Speaker: Prof. Marco Scarsini

Summary:

Most often important decisions involve several unknown attributes.
This produces a double challenge in the sense that both assessing the individual multiattribute preferences and assessing the joint distribution of the attributes can be extremely hard. To handle the first challenge, we suggest multivariate almost stochastic dominance, a relation based on bounding marginal utilities. We provide necessary and sufficient characterizations in terms of simple transfers, which are easily communicated to decision makers and thus can be used for preference elicitation. To handle the second challenge, we develop sufficient conditions that do not consider the dependence structure and are based either on marginal distributions of the attributes or just on their means and variances. We apply the theoretical results to a case study of comparing the efficiency of photovoltaic plants.

Biography:

Marco Scarsini is a professor in the Department of Economics and Finance at Luiss University in Rome. Preciously he held positions at Singapore University of Technology and Design, HEC Paris, Università di Torino, Università D’Annunzio, Università di Roma La Sapienza, Università di Parma. He holds a Laurea in Economics and Social Science from Università Bocconi and an HDR in Applied Mathematics from Université Paris Dauphine.

His research interests are Game Theory, Applied Probability, with a particular focus on congestion games, games with random payoffs, social learning, stochastic orders.

He is an Area Editor (Game Theory) at Mathematics of Operations Research.

WED 17 MAY 16:00-17:00 (AEST, Melbourne Time)

This event will be hybrid:

• Attend in-person at the Steve Howard Room, Level 5, Melbourne Connect
• Attend online via Zoom (ZOOM MEETING ID: 873 1557 5255; PASSWORD: 778635)