A new estimation technique is proposed to deal with missing response variables in the context of a nested multinomial logit model. Survey data often have a significant number of incomplete or missing responses. If such data are systematically missing (i.e. not missing at random) and if such...

This paper proposes a nonparametric Poisson kernel density estimation technique for discrete distributions. Economists have been using continuous kernels to approximate discrete distributions. This work introduces a discrete kernel as more appropriate for approximating discrete distributions....