The Usefulness of DAGs: What Can Directed Acyclic Graphs Contribute to a Residual Ap-proach to Weight-related Income Discrimination?

Journal article


Publication Details

Author(s): Bozoyan C, Wolbring T
Journal: Schmollers Jahrbuch
Publication year: 2015
Volume: 135
Pages range: 83 - 96
ISSN: 1439-121X
eISSN: 1865-5742
Language: English


Abstract


This paper provides one of the first empirical applications of directed acyclic graphs (DAGs) on a research question typical for the social sciences: wage discrimination. Besides a substantial interest in the weight wage penalty we ask whether DAGs help to improve the widely applied residual approach to discrimination. Using the German Socio-economic Panel (GSOEP) we find that body composition is associated with wages and that the effects of fat mass and fat free mass are markedly stronger for females than for males. Further we show that DAGs help to identify covariates which should and should not be adjusted for and to reduce the statistical model without losing information with regard to the estimation of the effect of interest. However, DAGs do not necessarily ensure that the central assumption of the residual approach, selection on observables, holds.



FAU Authors / FAU Editors

Wolbring, Tobias Prof. Dr.
Lehrstuhl für Empirische Wirtschaftssoziologie


How to cite

APA:
Bozoyan, C., & Wolbring, T. (2015). The Usefulness of DAGs: What Can Directed Acyclic Graphs Contribute to a Residual Ap-proach to Weight-related Income Discrimination? Schmollers Jahrbuch, 135, 83 - 96. https://dx.doi.org/10.3790/schm.135.1.83

MLA:
Bozoyan, Christiane, and Tobias Wolbring. "The Usefulness of DAGs: What Can Directed Acyclic Graphs Contribute to a Residual Ap-proach to Weight-related Income Discrimination?" Schmollers Jahrbuch 135 (2015): 83 - 96.

BibTeX: 

Last updated on 2018-10-08 at 21:57