Université de Fribourg

Direct and indirect effects under sample selection and outcome attrition

Huber, Martin ; Solovyeva, Anna

(Working Papers SES ; 496)

This paper considers the evaluation of direct and indirect treatment effects, also known as mediation analysis, when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For identification, we combine sequential conditional independence assumptions on the assignment of the treatment and the mediator, i.e. the variable through which the indirect effect...

Consortium of Swiss Academic Libraries

Matching estimators and optimal bandwidth choice

Frölich, Markus

In: Statistics and Computing, 2005, vol. 15, no. 3, p. 197-215

Université de Fribourg

Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting

Hsu, Yu-Chin ; Huber, Martin ; Lai, Tsung Chih

(Working Papers SES ; 482)

Using a sequential conditional independence assumption, this paper discusses fully nonparametric estimation of natural direct and indirect causal effects in causal mediation analysis based on inverse probability weighting. We propose estimators of the average indirect effect of a binary treatment, which operates through intermediate variables (or mediators) on the causal path between the...

Université de Fribourg

A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects

Huber, Martin ; Steinmayr, Andreas

(Working Papers SES ; 481)

This paper suggests a causal framework for disentangling individual level treatment effects and interference effects, i.e., general equilibrium, spillover, or interaction effects related to treatment distribution. Thus, the framework allows for a relaxation of the Stable Unit Treatment Value Assumption (SUTVA), which assumes away any form of treatment-dependent interference between study...

Université de Fribourg

The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation

Frölich, Markus ; Huber, Martin ; Wiesenfarth, Manuel

(Working Papers SES ; 454)

This paper investigates the fi nite sample performance of a comprehensive set of semi- and nonparametric estimators for treatment and policy evaluation. In contrast to previous simulation studies which mostly considered semiparametric approaches relying on parametric propensity score estimation, we also consider more fl exible approaches based on semi- or nonparametric propensity scores,...