Targeting mediating mechanisms of social disparities with an interventional effects framework, applied to the gender pay gap in Western Germany

Abstract

The Oaxaca-Blinder (OB) decomposition is a widely used method to explain social disparities. However, assigning causal meaning to its estimated components requires strong assumptions that often lack explicit justification. This article emphasizes the importance of clearly defined estimands and their identification when targeting mediating mechanisms of social disparities. Three approaches are distinguished on the basis of their scientific questions and assumptions: a mediation approach and two interventional approaches. The OB decomposition and Monte Carlo simulation-based g-computation are discussed for estimation in relation to these approaches. The latter method is used in an interventional effects analysis of the observed gender pay gap in Western Germany, using data from the 2017 German Socio-Economic Panel. Ten mediators are considered, including indicators of human capital and job characteristics. Key findings indicate that the gender pay gap in log hourly wages could be reduced by up to 86% if these mediators were equally distributed between women and men. Substantial reductions could be achieved by aligning full-time employment and work experience.