Frölich, Markus Huber, Martin 2014 This article develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pretreatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment effect on the outcomes of compliers (the subpopulation whose treatment reacts on the instrument) in multiple periods based on inverse probability weighting. Treatment selection and attrition may depend on both observed characteristics and the unobservable compliancetype,whichispossiblyrelatedtounobservedfactors.Wealsoprovideasimulation studyandapplyourmethodstotheevaluation of a policy intervention targeting college achievement, where we find that controlling for attrition considerably affects the effect estimates. Supplementary materials for this article are available online. application/pdf https://folia.unifr.ch/global/documents/307666 https://folia.unifr.ch/documents/307666/files/treatmentevaluationwithmultipleoutcomeperiodsunderendogeneityandattrition.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1080/01621459.2014.896804 info:eu-repo/semantics/openAccess License undefined Journal of the American Statistical Association. - 2014, vol. 109, no. 508, p. 1697-1711 Panel data Treatment effect Weighting info:eu-repo/classification/udc/33 Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition http://purl.org/coar/resource_type/c_6501