This dissertation contains three essays on choice and voting theory. In Chapter
1, a model of stochastic choice is proposed and characterized. Randomness in
choice is driven by variability in the availability of alternatives. Chapter 2 addresses
the classic implementation problem in a spatial setting. A social choice rule is
recommended that can be viewed as a spatial analogue to majority rule as originally
axiomatized by May (1952). Chapter 3 investigates testability, identification, and
estimation in a large class of models used in modeling voting behavior. The models
have relevance to the growing number of online voting platforms.