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Novak, Geronimus, and Martinez-Cardoso find fear of immigration can affect Latino birth outcomes

Frey's Scenario F simulation mentioned in account of the Democratic Party's tribulations

U-M Poverty Solutions funds nine projects

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Highlights

Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

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Next Brown Bag

Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

psc brown bag iconMate Preferences and Marriage Market Dynamics

Elizabeth Bruch (University of Michigan)

03/26/2012, at noon in room 6050 ISR-Thompson.

For over a century, sociologists and demographers have documented spousal similarity on the basis of education, race/ethnicity, income, physical attractiveness, and other status attributes. This work has been largely descriptive, focused on more on documenting patterns of endogamy and homogamy rather than explaining them (Kalmijn 1998). The disjunction between the descriptive focus of empirical studies of marriage patterns and theories about the underlying mechanisms is largely due to limitations in available data and methods. I use unique data from an on-line dating website to analyze individuals’ preferences for mates in the early stages of mate search. The overarching goal is to understand how mate preferences might aggregate to generate observed patterns of assortative mating. I first estimate statistical models describing the likelihood that a man or woman contacts a member of the opposite sex, given one's own attributes as well as the attributes of potential matches. I then explore how individuals’ preferences for mates interact with the population joint distribution of attributes to generate matching outcomes. I use a static, two-sided matching model to explore how changes in the underlying distribution of available mates—for example, an increase in the average education of women or parity in the educational distributions of blacks and whites—influence observed matching and aggregate patterns of homogamy.



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