“Intersectional Inequality makes an original and substantive contribution to the Bell Curve debate, offering a methodological guide to those who wish to apply set theoretic methods to survey data. This is one of those very rare books that offers genuine innovation. Its combination of substantive and methodological material and argument is increasingly rare—and I welcome it as the sort of book that will educate students about what social science at its best can offer and also provide a model of the configurational approach for other researchers to follow.”

Barry Cooper, University of Durham

“This is a breakthrough book. Ragin’s substantial corpus of research has demonstrated how QCA and related methods can be used with small and moderate size data sets. In this new research with Fiss, he shows how these methods cannot only be applied to large data sets, but to a central problem of sociology—the prediction of poverty. In doing so, they demonstrate that their methods can provide new insights that are wholly missed by regression and related methods.”

Christopher Winship, Harvard University

"Investigates which combinations of causally relevant conditions are linked to specific outcomes, using a diversity-oriented, intersectional understanding of such connections and focusing on the predictors of poverty status."

Journal of Economic Literature