Endogenous treatment effect estimation using high-dimensional instruments and double selection

We propose a double selection instrumental variable estimator for the endogenous treatment effects using both high-dimensional control variables and instrumental variables. It deals with the endogeneity of the treatment variable and reduces omitted variable bias due to imperfect model selection.