Assessing Racial and Educational Segmentation in Large Marriage Markets
构建动态匹配模型，利用美国全国代表性数据估计搜索摩擦和匹配互补性对种族与教育同型婚配的影响，发现搜索摩擦几乎完全解释种族同型婚配，但仅解释约一半的教育同型婚配。
Abstract Complementarities between partners’ characteristics are often held responsible for the patterns of assortative mating observed in marriage markets along different dimensions, such as race and education. However, when the marriage market is segmented into racially and educationally homogeneous clusters, people naturally have more match opportunities with their likes. In this paper, we build an empirically tractable dynamic matching model with endogenous separation and remarriage. In every period, agents participate in a competitive matching game with transferable utility, where mating strategies depend on both the expected match gains and search frictions in the form of meeting costs. We leverage panel data on the duration of both non-cohabiting and cohabiting relationships to jointly estimate both determinants of assortative mating with a nationally representative sample of the U.S. population. We show that, in the absence of search frictions, the share of matches between people of the same race (education) would decrease from 88.2% (49.2%) to 55.5% (40.8%), as opposed to 53.3% (33.5%) if singles were randomly matched. As a result, search frictions explain nearly all the racial homogamy observed in the data, but only approximately half of the observed educational homogamy, with the other half attributed to match complementarities. In a counterfactual exercise, we show that minority groups experiencing an unfavourable gender ratio when marriage markets are segmented, such as Hispanic men and Black women, would benefit from access to a broader and more diverse pool of partners.