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Intersectional InequalityRace, Class, Test Scores, and Poverty$
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Charles C. Ragin and Peer C. Fiss

Print publication date: 2016

Print ISBN-13: 9780226414379

Published to Chicago Scholarship Online: September 2017

DOI: 10.7208/chicago/9780226414546.001.0001

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Explaining Poverty: The Key Causal Conditions

Explaining Poverty: The Key Causal Conditions

(p.33) Three Explaining Poverty: The Key Causal Conditions
Intersectional Inequality

Charles C. Ragin

Peer C. Fiss

University of Chicago Press

Chapter 3 reproduces and evaluates the results of Fischer et al.’s analysis of the NLSY data. After replicating their results, we examine their model’s predictive power—how well it assigns cases to the outcome “in-poverty” versus “not-in-poverty.” We then offer a statistical model that charts a middle path between the Bell Curve model and Fischer et al.’s, using a moderate number of independent variables. These variables also provide the basis for the fuzzy sets we use in our set-analytic assessment of the National Longitudinal Survey of Youth data.

Keywords:   model specification, prediction, poverty, race, gender, marital status, subgroup analysis

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