Structural Causal Models define causal effects in terms of a single Data Generating Process (DGP), and the Rubin Causal Model defines causal effects in terms of a model that can represent counterfactuals from many DGPs. Under these different definitions, notationally similar causal effects make...

Conventional methods for mediation analysis generate biased results when the mediator-outcome relationship depends on the treatment condition. This article introduces a new technique, ratio-of-mediator-probability weighting (RMPW), for decomposing total effects into direct and indirect effects...

This paper examines the role of education as causal channel through which growing up poor affects the economic outcomes in adulthood in the European Union. We apply a potential outcomes approach to quantify those impacts and we provide a sensitivity analysis on possible unobserved confounders,...

In this paper we perform inference on the effect of a treatment on survival times in studies where the treatment assignment is not randomized and the assignment time is not known in advance. Two such studies are discussed: a heart transplant program and a study of Swedish unemployed eligible for...

In this paper we perform inference on the effect of a treatment on survival times in studies where the treatment assignment is not randomized and the assignment time is not known in advance. Two such studies are discussed: a heart transplant program and a study of Swedish unemployed eligible for...

This paper examines the role of education as causal channel through which growing up poor affects the economic outcomes in adulthood in the European Union. We apply a potential outcomes approach to quantify those impacts and we provide a sensitivity analysis on possible unobserved confounders,...

Information systems play an important role in the management of organizations. They are considered as social objects interacting with users and the context of their implementation. The purpose of our research is to identify the key factors influencing the users’ behavior toward a decision...

In this paper we consider nonparametric estimation of a structural equation model under full additivity constraint. We propose estimators for both the conditional mean and gradient which are consistent, asymptotically normal, oracle efficient and free from the curse of dimensionality. Monte...