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Endogenous Confounding in Causal Decomposition Analysis

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  • Chung, Ha-Joon
  • Hong, Guanglei

Abstract

Should a set of hypothetical interventions eliminate the Black-White gap in malleable factors such as schooling, how much racial disparity in subsequent youth development would be reduced and how much would remain? To address this question, a causal decomposition analysis must credibly identify the causal impact of intervening on the malleable factors. However, major confounders such as parental SES are intermediate outcomes of systemic racism experienced over generations that place Black households and communities at a great disadvantage. For this reason, an intervention that attempts to eliminate the Black-White gap in schooling within levels of parental SES or other endogenous confounders has two major problems: (1) Such an attempt is infeasible when only one but not both racial groups are present within some extreme levels of parental SES. (2) Even if both groups are present within every level of parental SES, the attempt would nonetheless fail to eliminate the marginal Black-White gap in schooling due to the endogeneity of parental SES. We propose a novel solution that replaces the original scale of an endogenous confounder with a scale preserving one’s within-group relative standing. A semiparametric weighting strategy then emulates the counterfactual outcome of an equity-oriented intervention. Our analysis of the NLSY 1997 data reveals real-world implications of the methodological dilemma posed by endogenous confounding.

Suggested Citation

  • Chung, Ha-Joon & Hong, Guanglei, 2024. "Endogenous Confounding in Causal Decomposition Analysis," SocArXiv dtbrn, Center for Open Science.
  • Handle: RePEc:osf:socarx:dtbrn
    DOI: 10.31219/osf.io/dtbrn
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    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    3. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    4. Joshua Goodman, 2019. "The Labor of Division: Returns to Compulsory High School Math Coursework," Journal of Labor Economics, University of Chicago Press, vol. 37(4), pages 1141-1182.
    5. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    6. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    7. Ang Yu & Felix Elwert, 2023. "Nonparametric Causal Decomposition of Group Disparities," Papers 2306.16591, arXiv.org, revised Dec 2024.
    8. Guanglei Hong & Fan Yang & Xu Qin, 2023. "Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis," Biometrics, The International Biometric Society, vol. 79(2), pages 1042-1056, June.
    9. Judea Pearl, 2014. "Comment: Understanding Simpson's Paradox," The American Statistician, Taylor & Francis Journals, vol. 68(1), pages 8-13, February.
    10. Park Soojin & Kang Suyeon & Lee Chioun & Ma Shujie, 2023. "Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-23, January.
    11. Neil Bhutta & Andrew C. Chang & Lisa J. Dettling & Joanne W. Hsu, 2020. "Disparities in Wealth by Race and Ethnicity in the 2019 Survey of Consumer Finances," FEDS Notes 2020-09-28-2, Board of Governors of the Federal Reserve System (U.S.).
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