Popli, G. orcid.org/0000-0003-2919-2627 (2022) Decompositions : accounting for discrimination. Working Paper. Sheffield Economic Research Paper Series, 2022009 (2022009). Department of Economics, University of Sheffield ISSN 1749-8368
Abstract
This chapter summarises the different regression based decomposition methods used in the empirical literature to evaluate discrimination. Starting with the decomposition at the mean using the methods made popular in the 1970s by Oaxaca and Blinder, we discuss how the method has evolved over time to look beyond the means, taking into account the entire distribution of the outcomes of interest. We present the formal identification assumptions underlying the decomposition method and discuss cautions that should be exercised in interpreting them and their limitations. We also explain how the ‘unexplained gap’ in the decomposition, often used as a measure of discrimination, relates to the treatment effect literature.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). For reuse permissions, please contact the Author(s). |
Keywords: | Decomposition; Counterfactual regressions; Distributions; Discrimination |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) > Sheffield Economics Research Papers Series The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Jul 2022 10:37 |
Last Modified: | 21 Nov 2022 13:24 |
Published Version: | https://www.sheffield.ac.uk/economics/research/ser... |
Status: | Published |
Publisher: | Department of Economics, University of Sheffield |
Series Name: | Sheffield Economic Research Paper Series |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188572 |