Working papers SES

Working papers SES
La collection des Working Papers SES est une série de cahiers de recherche présentant les différents travaux menés au sein de la Faculté des sciences économiques et sociales de l'Université de Fribourg (Suisse). Cette collection existe depuis 1980 et les thèmes abordés reflètent les différentes orientations scientifiques des membres de la Faculté: économie politique, gestion d'entreprise, informatique de gestion, méthodes quantitatives, sciences sociales et sciences des médias et de la communication. Le contenu de ces travaux n'engage que la responsabilité de leurs auteurs.
Université de Fribourg

Evaluating local average and quantile treatment effects under endogeneity based on instruments : a review

Huber, Martin ; Wüthrich, Kaspar

(Working Papers SES ; 479)

This paper provides a review of methodological advancements in the evaluation of heterogeneous treatment effect models based on instrumental variable (IV) methods. We focus on models that achieve identification through a monotonicity assumption on the selection equation and analyze local average and quantile treatment effects for the subpopulation of compliers. We start with a comprehensive...

Université de Fribourg

Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments

Fricke, Hans ; Frölich, Markus ; Huber, Martin ; Lechner, Michael

(Working Papers SES ; 459)

This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for nonresponse/attrition, we identify the average treatment effect on compliers as well as the total population and suggest...

Université de Fribourg

A cautionary tale about control variables in IV estimation

Deuchert, Eva ; Huber, Martin

(Working Papers SES ; 453)

Many instrumental variable (IV) regressions include control variables to justify (conditional) independence of the instrument and the potential outcomes. The plausibility of conditional IV independence crucially depends on the timing when the control variables are determined. This paper systemically works through different IV models and discusses the (conditions for the) satisfaction of...