We study centralized many-to-many matching in markets where agents have private information about (vertical) characteristics that determine match values. Our analysis reveals how matching patterns reflect cross-subsidization between sides. Agents are endogenously partitioned into consumers and inputs. At the optimum, the costs of procuring agents-inputs are compensated by the gains...
The E-Science Working group designed a survey in 2013 to investigate how researchers at Northwestern University manage data and to help determine researchers’ needs or requirements for data storage, preservation and sharing.
The 21 question survey looked at several areas involving data and data management, including the types and size...