The chapter critically reviews the methods available for the ex post counterfactual analysis of programs that are assigned exclusively to individuals, households or locations. The emphasis is on the problems encountered in applying these methods to anti-poverty programs in developing countries,...

We investigate estimation and inference of the (local) average treatment effect parameter when a binary instrumental variable is generated by a randomized or conditionally randomized experiment. Under i.i.d. sampling, we show that adding covariates and their interactions with the instrument will...

This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...