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

Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery

Deuchert, Eva ; Huber, Martin ; Schelker, Mark

(Working Papers SES ; 473 (revised))

This paper proposes a difference-in-differences approach for disentangling a total treatment effect on some outcome into a direct effect as well as an indirect effect operating through a binary intermediate variable – or mediator – within strata defined upon how the mediator reacts to the treatment. Imposing random treatment assignment along with specific common trend (and further)...

Université de Fribourg

Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery

Deuchert, Eva ; Huber, Martin ; Schelker, Mark

(Working Papers SES ; 473)

This study empirically evaluates the impact of the war in eastern Ukraine on the political attitudes aThis paper proposes a difference-in-differences approach for disentangling a total treatment effect on some outcome into a direct impact as well as an indirect effect operating through a binary intermediate variable – or mediator – within strata defined upon how the mediator reacts to the...

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...