The problem of optimally designing information for multiple agents who interact in a game can be formulated as a linear program. We explore its dual representation and show that it provides a novel perspective and new economic insights into the information-design problem. Through the lens of the dual, we identify general properties that hold for all information-design problems. Duality also offers a portable, general, method for computing solutions. We illustrate this approach in the context of simple investment games.
Galperti, Simone, and Jacopo Perego. "A Dual Perspective on Information Design." Columbia Business School, November 13, 2018.
Each author name for a Columbia Business School faculty member is linked to a faculty research page, which lists additional publications by that faculty member.
Each topic is linked to an index of publications on that topic.