AI Article Synopsis

  • This paper examines how couple formation and assortative mating impact societal structures, using data from 1700 to 1910 to analyze trends in the U.S. with a focus on migration backgrounds and age at marriage.
  • It identifies three main findings: significant changes in mating trends over time, diversity in these patterns across social groups, and differing interpretations based on individual versus familial perspectives.
  • The study also discusses the pros and cons of using online genealogical databases, emphasizing their potential for new insights despite challenges related to data quality and representativeness.

Article Abstract

Couple formation and assortative mating significantly influence societal structures, as marriages between individuals from diverse geographical or social backgrounds promote intra-family diversity. Understanding these patterns is crucial for grasping the demographic processes that shape contemporary societies. However, the scarcity of comprehensive data has impeded progress in this area. This paper aims to fill this gap by investigating assortative mating trends in the United States among birth cohorts from 1700 to 1910, utilizing data from FamiLinx, an online crowdsourced genealogical database. We focus on two primary dimensions: migration background (including natives, first and second-generation migrants) and age at marriage. Our analysis yields three major findings. First, we document significant changes in assortative mating trends over time, reflecting the dynamic nature of mate selection and its responsiveness to societal shifts. Second, we uncover substantial heterogeneity in assortative mating patterns across different social groups, indicating varying social dynamics and preferences. Third, we illustrate how these trends can be differently interpreted depending on whether the perspective is individual or familial. Additionally, we explore the advantages and limitations of using online genealogical data for historical studies of assortative mating, highlighting its potential for offering new insights while acknowledging the challenges posed by data quality and representativeness.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573314PMC
http://dx.doi.org/10.1080/1081602X.2024.2352539DOI Listing

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