A committee decides by unanimity whether to accept the current alternative, or to continue costly search. Each alternative is described by a vector of distinct attributes, and each committee member can privately assess the quality of one attribute (her "specialty"). Preferences are heterogeneous...

We derive conditions on the learning environment - which encompasses both Bayesian and non-Bayesian processes - ensuring that an efficient allocation of resources is achievable in a dynamic allocation environment where impatient, privately informed agents arrive over time, and where the designer...

A committee decides by unanimity whether to accept the current alternative, or to continue costly search. Each alternative is described by a vector of distinct attributes, and each committee member can privately assess the quality of one attribute (her "speciality"). Preferences are...