Data and Code for: Analytic Approaches to Measuring the Black-White Wealth Gap
Principal Investigator(s): View help for Principal Investigator(s) Jermaine Toney, Rutgers, The State University of New Jersey; Fenaba R. Addo, University of North Carolina-Chapel Hill; Darrick Hamilton, The New School
Version: View help for Version V2
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Project Citation:
Toney, Jermaine , Addo, Fenaba R. , and Hamilton, Darrick . Data and Code for: Analytic Approaches to Measuring the Black-White Wealth Gap. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-01-19. https://doi.org/10.3886/E201263V2
Project Description
Summary:
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Does the measurement of the racial wealth gap shift
depending on the model, method, and data set used? We contrast the traditional
mean Oaxaca-Blinder decomposition with the distributional Recentered Influence
Function (RIF) methods. The untransformed, logarithm-transformed, and inverse
hyperbolic sine-transformed versions in both Survey of Consumer Finances and
Panel Study of Income Dynamics data sets exhibit similarities. The
Oaxaca-Blinder (mean) decomposition highlights that receiving an inheritance
explains a larger portion of the racial wealth gap than educational attainment.
Conversely, the RIF method at the median suggests that educational attainment
accounts for more of the wealth gap than inheritance receipt.
Scope of Project
Subject Terms:
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race;
wealth;
inequality;
measurement;
oaxaca-blinder;
RIF decomposition
JEL Classification:
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C13 Estimation: General
C18 Methodological Issues: General
I14 Health and Inequality
I30 Welfare, Well-Being, and Poverty: General
J30 Wages, Compensation, and Labor Costs: General
C13 Estimation: General
C18 Methodological Issues: General
I14 Health and Inequality
I30 Welfare, Well-Being, and Poverty: General
J30 Wages, Compensation, and Labor Costs: General
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