Bayesian methods have become an essential tool in experimental economics, offering a rigorous framework for analyzing decision-making under uncertainty and behavioral heterogeneity. To strengthen capacity in this rapidly growing field, UM6P will host the Summer School on Bayesian Methods for Experimental Economics from June 18–21, 2026, immediately following the ESA Africa Conference 2026.

About the program

Organized in partnership with the Paris School of Economics and sponsored by the Economic Science Association, this intensive three-day summer school will bring together leading scholars and participants interested in advanced quantitative methods in economics. Through lectures and practical applications, attendees will explore how Bayesian approaches contribute to behavioral research, structural modeling, meta-analysis, and evidence-based policy evaluation.

What you will learn

Participants will gain a comprehensive understanding of Bayesian models of decision-making and the empirical evidence on behavioral deviations. The program will cover Bayesian econometric techniques for the structural estimation of decision models, Bayesian methods for meta-analysis in experimental economics, and the integration of prior information and effect sizes into applied economic research and policy assessment.