Supplementary data 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 V1
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application/x-stata-dta | 1.2 MB | 01/13/2025 07:19:AM |
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application/x-stata-dta | 656.1 KB | 01/13/2025 06:58:AM |
Project Citation:
Toney, Jermaine, Addo, Fenaba R. , and Hamilton, Darrick . Supplementary data for: Analytic Approaches to Measuring the Black-White Wealth Gap. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-01-13. https://doi.org/10.3886/E215384V1
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
Time Period(s):
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2013 – 2019
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