TrygFonden's Child Research Seminar Series: Philip Heiler, AU

Title: Estimating Heterogeneous Bounds for Treatment Effects under Sample Selection and Non-response

Info about event


Thursday 30 September 2021,  at 12:00 - 13:15


Fuglesangs Allé 4, 8210 Aarhus V, Building 2632(L), room 242


In this paper we propose a method for nonparametric identification and estimation of heterogeneous bounds for causal effect parameters in general sample selection models where the initial treatment can affect whether an post-intervention outcome is observed or not. The original treatment selection can be confounded by observable covariates while the outcome selection can be affected by both observables and unobservables. The method provides functional estimates of conditional effect bounds as a function of relevant background pre-treatment variables. It allows for conducting valid statistical inference on the unidentified conditional effect curves. We use a flexible semiparametric de-biased machine learning approach that can accommodate flexible functional forms and high-dimensional set of observed confounding variables in both treatment and outcome selection process.