Trends in Sorting Along Race in the USA at the National Level
Anna Naszodi
Chapter Chapter 13 in New Methods for Measuring Inequality by Analyzing Assortative Mating, 2025, pp 235-240 from Springer
Abstract:
Abstract In one of the empirical analyses presented in Sect. 11.3 , it has been taken into account that Americans sort into couples both along the educational and racial traits. In that section, we presented some of the results by Naszodi and Mendonca (A new method for identifying what Cupid’s invisible hand is doing. Is it spreading color blindness while turning us more picky about spousal education? (2023b). https://arxiv.org/abs/2103.06991 ) in the context of a sensitivity analysis. In particular, we used their results to address the question whether the stylized U-shaped pattern in the degree of sorting along the educational trait is robust to controlling for sorting along race and the intergenerational changes in the racial composition of the marriageable individuals in the USA. To recall, Sect. 11.3 showed that both the GNM-method—designed to account for sorting along education and race jointly,—and the NM-method—designed to analyze sorting along the single trait of education—document the historical trend in educational homophily to have had a U-shape in the US over the twentieth century (see Figs. 11.8 b and 11.9 ).
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-031-98277-4_13
Ordering information: This item can be ordered from
http://www.springer.com/9783031982774
DOI: 10.1007/978-3-031-98277-4_13
Access Statistics for this chapter
More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().