See Marriage Market Sorting in the U.S. by Anton Cheremukhin, Paulina Restrepo-Echavarria and Antonella Tutino.
Abstract
"We examine shifts in the U.S. marriage market, assessing how online dating, demographic changes, and evolving societal norms influence mate choice and broader sorting trends. Using a targeted search model, we analyze mate selection based on factors such as education, age, race, income, and skill. Intriguingly, despite the rise of online dating, preferences, mate choice, and overall sorting patterns showed negligible change from 2008 to 2021. However, a longer historical view from 1960 to 2020 reveals a trend toward preferences for similarity, particularly concerning income, education, and skills. Our findings refute two out of three potential explanations – reduced search costs and growing spatial segregation – as potential causes of these long-term shifts. In particular, we conclude that people’s capacity to process and evaluate information hasn’t improved despite technological advancements. Among the remaining demographic factors, we identify enhanced workforce participation and college attainment among women as the primary drivers of the U.S. marriage market transformation. Furthermore, we find that the corresponding changes in mate preferences and increased assortativeness by skill and education over this timeframe account for about half of the increased income inequality among households."
Related posts:
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As more people choose to marry someone with a similar income, inequality increases (2020)
The preference for partners of the same education has significantly increased for white individuals (2017)
"Among students in the bottom socioeconomic quartile, 15 percent had earned a bachelor’s degree within eight years of their expected high school graduation, compared with 22 percent in the second quartile, 37 percent in the third quartile, and 60 percent in the top quartile."
"Data from the United States Census Bureau suggests there has been a rise in assortative mating....[I]f matching in 2005 between husbands and wives had been random, instead of the pattern observed in the data, then the Gini coefficient would have fallen from the observed 0.43 to 0.34, so that income inequality would be smaller""
What Do Men In China Need To Get A Bride? (2011)
There really is a marriage market in many countries (2011)
Do Women Really Value Income over Looks in a Mate? by Marina Adshade (2010)
Do Opposites Attract? Not Usually, Except Maybe When It Comes To Money (2009)

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