Bodory, Hugo Huber, Martin 2018-03-01 We describe R package “causalweight” for causal inference based on inverse probability weighting (IPW). The “causalweight” package offers a range of semiparametric methods for treatment or impact evaluation and mediation analysis, which incorporates intermediate outcomes for investigating causal mechanisms. Depending on the method, identification relies on selection on observables assumptions or on instrumental variables when selection is on unobservables, approaches that may also be applied to tackle non-random outcome attrition and sample selection. Inference is based on the bootstrap. application/pdf https://folia.unifr.ch/unifr/documents/306524 https://folia.unifr.ch/documents/306524/files/WP_SES_493.pdf eng http://www.unifr.ch/ses/wp info:eu-repo/semantics/openAccess License undefined Treatment effect selection on observables sample selection mediation analysis instrumental variable IPW info:eu-repo/classification/udc/33 The causalweight package for causal inference in R http://purl.org/coar/resource_type/c_18ws