A note on the use of kernel functions in weighted estimators

We focus on the use of kernel-type functions in estimators for causal mean parameters in a nondynamic treatment regime setting, where treatment regime is a function of a continuous random variable. We explore the asymptotic properties of such estimators when the usual parametric modeling assumptions for the propensity score are made.