Residential Segregation's Impact on Interracial and Cross-Class Marriages

Residential segregation plays a significant role in the low rates of marriage between different racial and socioeconomic groups in the United States. A new working paper from the National Bureau of Economic Research (NBER) investigated the effects of increased exposure to diverse groups on marriage rates. The study analyzed Census data and federal tax records.

Researchers found that greater exposure to different socioeconomic groups can lead to more marriages across class lines. However, this increased exposure had no discernible effect on marriage rates between Black and white individuals. The overall rate of Black-white intermarriage has grown slowly and currently accounts for eleven percent of all intermarried couples.

Benjamin Goldman, an assistant professor at Cornell University, and Jamie Gracie, a postdoctoral fellow at Harvard's EdRedesign Lab, co-authored the paper with Sonya Porter, a U.S. Census Bureau researcher. They noted that Americans often live, work, and socialize in segregated environments. This segregation limits opportunities for contact across group lines.

Neighborhoods influence where individuals work and socialize. Dating applications, a common way for people to meet, often use search radii that limit potential partners to those living nearby. This geographic proximity contributes to the polarization observed in the marriage market.

While residential segregation impacts cross-class marriages, the same effect is not observed for interracial marriages. The paper highlights this difference without fully explaining its causes. One hypothesis suggests that even in racially diverse neighborhoods, people may still self-segregate their social lives. Another explanation points to more ingrained preferences regarding interracial marriage.

The low rates of intergroup marriage have implications for inequality and social mobility. Marriages between Black and white individuals represent the lowest proportion of cross-group marriages. This pairing is particularly relevant for understanding broader income disparities between these two groups.