No abstract

Despite theoretical consensus that marriage markets constrain mate selection behavior, few studies directly evaluate how local marriage market conditions influence intermarriage patterns. Using data from the American Community Survey, we examine what aspects of marriage markets influence mate selection; assess whether the associations between marriage market conditions and intermarriage are uniform by gender and across pan-ethnic groups; and investigate the extent to which marriage market conditions account for group differences in intermarriage patterns. Relative group size is the most salient and consistent determinant of intermarriage patterns across pan-ethnic groups and by gender. Marriage market constraints typically explain a larger share of pan-ethnic differences in intermarriage rates than individual traits, suggesting that scarcity of co-ethnic partners is a key reason behind decisions to intermarry. When faced with market constraints, men are more willing or more successful than women in crossing racial and ethnic boundaries in marriage.

Race-based and other demographic information on COVID-19 patients is not being collected consistently across provinces in Canada. Therefore, whether the burden of COVID-19 is falling disproportionately on the shoulders of particular demographic groups is relatively unknown. In this article, we first provide an overview of the available geographic and demographic data related to COVID-19. We then make creative use of these existing data to fill the vacuum and identify key demographic risk factors for COVID-19 across Canada's health regions. Drawing on COVID-19 counts and tabular census data, we examine the association between communities' demographic composition and the number of COVID-19 infections. COVID-19 infections are higher in communities with larger shares of Black and low-income residents. Our approach offers a way for researchers and policymakers to use existing data to identify communities nationwide that are vulnerable to the pandemic in the absence of more detailed demographic and more granular geographic data. RÉSUMÉ Les renseignements fondés sur la race et d'autres données démographiques sur les patients atteints duThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

The Canadian government has no plans to release data on the race or socioeconomic status of COVID-19 patients. Therefore, whether COVID-19 is disproportionately affecting certain sociodemographic groups in Canada is unknown. We fill this data void by merging publicly available COVID-19 data with tabular census data to identify risk factors rendering certain geographic areas more vulnerable to COVID-19 infections and deaths. We combine insights obtained from this analysis with information on the socio-demographic profiles of smaller geographic units to predict and display the incidence of COVID-19 infections and deaths in these locales. Like in the U.S., COVID-19 has disproportionately affected black and immigrant communities in Canada. COVID-19 death tolls are also higher in Canadian communities with higher shares of older adults.

This paper evaluates the status exchange hypothesis for Australia and the United States, two Anglophone nations with long immigration traditions whose admission regimes place different emphases on skills. Using log-linear methods, we demonstrate that foreign-born spouses trade educational credentials via marriage with natives in both Australian and U.S. marriage markets and, moreover, that nativity is a more salient marriage barrier for men than for women. With some exceptions, immigrant spouses in mixed nativity couples are better educated than native spouses in same nativity couples, but status exchange is more prevalent among the less-educated spouses in both countries. Support for the status exchange hypothesis is somewhat weaker in Australia partly because of lower average levels of education compared with the United States and partly because of less sharply defined educational hierarchy at the postsecondary level.