Explaining Poverty: The Key Causal Conditions
Explaining Poverty: The Key Causal Conditions
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
Chicago Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.
