Causal Pitfalls in the Decomposition of Wage Gaps
- Huber, Martin University of Fribourg
-
2015
Published in:
- Journal of business & economic statistics. - 2015, vol. 33, no. 2, p. 179-191
English
The decomposition of gender or ethnic wage gaps into explained and unexplained components (often with the aim to assess labor market discrimination) has been a major research agenda in empirical labor economics. This article demonstrates that conventional decompositions, no matter whether linear or nonparametric, are equivalent to assuming a (probably too) simple model of mediation (aimed at assessing causal mechanisms) and may therefore lack causal interpretability. The reason is that decompositions typically control for post-birth variables that lie on the causal pathway from gender/ethnicity (which are determined at or even before birth) to wage but neglect potential endogeneity that may arise from this approach. Based on the newer literature on mediation analysis, we therefore provide more attractive identifying assumptions and discuss nonparametric identification based on reweighting.
- Faculty
- Faculté des sciences économiques et sociales et du management
- Department
- Département d'économie politique
- Language
-
- English
- Classification
- Economics
- License
- License undefined
- Identifiers
-
- RERO DOC 324486
- DOI 10.1080/07350015.2014.937437
- Persistent URL
- https://folia.unifr.ch/unifr/documents/307659
Statistics
Document views: 35
File downloads:
- causalpitfallsinthedecompositionofwagegaps.pdf: 112