This dissertation is a collection of three essays that cover issues in poverty analysis. The first essay (Partial Identification of PovertyMeasures with Contaminated and Corrupted Data) applies a partial identification approach to poverty measurement when data errors arenon-classical in the...

This dissertation consists of three chapters relating to identification and inference in dynamic microeconometric models including dynamic discrete games with many players, dynamic games with discrete and continuous choices, and semiparametric binary choice and duration panel data...

We propose inference procedures for partially identified population features for which the population identification region can be written as a transformation of the Aumann expectation of a properly defined set valued random variable (SVRV). An SVRV is a mapping that associates a set (rather...