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Using the Blinder-Oaxaca Decomposition Method to Measure Racial Bias in Achievement Tests
The Review of Black Political Economy, 2013The Blinder-Oaxaca decomposition technique is typically applied to gender or racial earnings gaps with the goal of determining the percent of the gap that can be attributed to differences in attributes between groups and to labor market discrimination.
Kevin Duncan, Jonathan Sandy
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Sociological Methods & Research, 2019
The Blinder–Oaxaca decomposition (BOD) is a popular method for studying the contributions of explanatory factors to social inequality. The results have often been given causal interpretations. While recent work and this article both show that some types of BOD are equivalent to a counterfactual-based treatment effect/selection bias decomposition, this
Weihua An, Adam N. Glynn
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The Blinder–Oaxaca decomposition (BOD) is a popular method for studying the contributions of explanatory factors to social inequality. The results have often been given causal interpretations. While recent work and this article both show that some types of BOD are equivalent to a counterfactual-based treatment effect/selection bias decomposition, this
Weihua An, Adam N. Glynn
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Applied Economics Letters, 2013
This article extends the Blinder–Oaxaca decomposition to double-hurdle (DH) models. The proposed methodology focuses on a generalized non-Gaussian DH specification with correlated errors and allows decomposing the gaps in participation probabilities and outcome levels for a wide range of nested specifications.
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This article extends the Blinder–Oaxaca decomposition to double-hurdle (DH) models. The proposed methodology focuses on a generalized non-Gaussian DH specification with correlated errors and allows decomposing the gaps in participation probabilities and outcome levels for a wide range of nested specifications.
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Blinder-Oaxaca decomposition with recursive tree-based methods: A technical note
2019The Blinder-Oaxaca decomposition was developed in order to detect and characterize discriminatory treatment, and one of its most frequent use has been the study of wage discrimination. It recognizes that the mere difference between the average wages of two groups may not mean discrimination (in a very wide sense of the word), but the difference can be ...
Takács, Olga, Vincze, János
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Extending the Kitagawa–Oaxaca–Blinder decomposition approach to panel data
The Stata Journal, 2021exaly