OPTIMAL PRICING MECHANISMS WHEN EXCLUSIVITY IS VALUABLE SASA PEKEC Duke University Multiple identical items are being sold to unit-demand buyers in a network. Buyers are willing to pay a premium if they obtain the item exclusively in their neighborhood, i.e. if no neighbor obtains the item. Each buyer has a private value for the item, as well as a private value for obtaining the item exclusively among neighbors. The seller limited to offering posted prices should inflate the price in order to maximize revenues and capture the value buyers put on the allocative externalities. However, we show that these posted price mechanisms are suboptimal by solving the revenue maximizing mechanism design problem for several special information structures. We show that this mechanism design problem could be computationally hard even when the corresponding perfect information problem is trivial to solve. Furthermore, optimal seller revenues are non-monotonic in buyers' valuations because information rents that buyers capture depend not just on the private values, but also on the underlying network topology. Finally, we present an ascending auction implementation of the optimal mechanism on the complete graph with private values that admit a generic one-dimensional representation. Our results provide insights on when and where exclusive allocations should be considered, and how to price exclusivity. BIO Sasa Pekec is an Associate Professor in the Decision Sciences Area at the Fuqua School of Business. He holds a Ph.D. in Applied Mathematics from Rutgers University. He joined Duke in 1998 and is currently teaching the core statistics course in the daytime MBA and the Cross Continent MBA programs. Professor Pekec's research is interdisciplinary and revolves around decision-making in complex competitive environments, and includes work on multiple object auction design, subset choice and bundle valuations, preference elicitation, and information aggregation. He has published articles in Management Science and Operations Research, as well as in top academic journals in other fields, such as economics, mathematics, and psychology. His work on combinatorial auctions has been widely cited and has influenced design of a new generation of now standard procurement auction procedures in a variety of industries. Professor Pekec's consulting experience includes banking, internet, pharmaceutical, retail, and telecommunications industries. He serves on the Supervisory Board of Atlantic Grupa, one of the leading FMCG companies in SE Europe. Professor Pekec is a member of the Council of Economic Advisors to the President of Croatia.