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Author: Sloczynski, Tymon
Resulting in 2 citations.
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Sloczynski, Tymon |
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Average Gaps and Oaxaca-Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes IZA Discussion Paper No. 12041, Institute for the Study of Labor (IZA), December 2018. Also: https://www.iza.org/publications/dp/12041/average-gaps-and-oaxacablinder-decompositions-a-cautionary-tale-about-regression-estimates-of-racial-differences-in-labor-market-outcomes Cohort(s): NLSY79 Publisher: Institute for the Study of Labor (IZA) Keyword(s): Current Population Survey (CPS) / CPS-Fertility Supplement; Early Childhood Longitudinal Study (ECLS-B, ECLS-K); Labor Market Outcomes; Racial Differences; Test Scores/Test theory/IRT; Wage Gap Permission to reprint the abstract has not been received from the publisher. In this paper I demonstrate, both theoretically and empirically, that the interpretation of regression estimates of between-group differences in economic outcomes depends on the relative sizes of subpopulations under study. When the disadvantaged group is small, regression estimates are similar to its average loss. When this group is instead a numerical majority, regression estimates are similar to the average gain for advantaged individuals. I analyze black-white test score gaps using ECLS-K data and black-white wage gaps using CPS, NLSY79, and NSW data, documenting that the interpretation of regression estimates varies dramatically across applications. Methodologically, I also develop a new version of the Oaxaca-Blinder decomposition whose unexplained component recovers a parameter referred to as the average outcome gap. Under a particular conditional independence assumption, this estimand is equivalent to the average treatment effect (ATE). Finally, I provide treatment-effects reinterpretations of the Reimers, Cotton, and Fortin decompositions. |
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Bibliography Citation
Sloczynski, Tymon. "Average Gaps and Oaxaca-Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes." IZA Discussion Paper No. 12041, Institute for the Study of Labor (IZA), December 2018. |
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Sloczynski, Tymon |
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Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes ILR Review published online (13 September 2019): DOI: 10.1177/0019793919874063. Also: https://journals.sagepub.com/doi/full/10.1177/0019793919874063 Cohort(s): NLSY79 Publisher: New York State School of Industrial and Labor Relations, Cornell University Keyword(s): Current Population Survey (CPS) / CPS-Fertility Supplement; Early Childhood Longitudinal Study (ECLS-B, ECLS-K); Racial Differences; Statistics; Wage Gap Using a recent result from the program evaluation literature, the author demonstrates that the interpretation of regression estimates of between-group differences in wages and other economic outcomes depends on the relative sizes of subpopulations under study. When the disadvantaged group is small, regression estimates are similar to the average loss for disadvantaged individuals. When this group is a numerical majority, regression estimates are similar to the average gain for advantaged individuals. The author analyzes racial test score gaps using ECLS-K data and racial wage gaps using CPS, NLSY79, and NSW data, and shows that the interpretation of regression estimates varies substantially across data sets. Methodologically, he develops a new version of the Oaxaca-Blinder decomposition, in which the unexplained component recovers a parameter referred to as the average outcome gap. Under additional assumptions, this estimand is equivalent to the average treatment effect. Finally, the author reinterprets the Reimers, Cotton, and Fortin decompositions in the context of the program evaluation literature, with attention to the limitations of these approaches. |
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Bibliography Citation
Sloczynski, Tymon. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes." ILR Review published online (13 September 2019): DOI: 10.1177/0019793919874063.
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