Do Segmented Assimilation Theory and Racialized Place Inequality Framework Help Explain Differences in Deaths Due to COVID-19 Observed among Hispanic Subgroups in New York City?

Abstract

This article studies the differences in the correlation between deaths and the Hispanic share for different Hispanic subgroups in New York City. Such differences are predicted by Segmented Assimilation Theory as different assimilation paths. The study is carried out at the level of PUMAs, and it is argued that such geographic locations are macro-level factors that determine health outcomes, as the theory of Racialized Place Inequality Framework claims. The study presents a spatially correlated model that allows to decompose the spatial effects into direct and indirect effects. Direct effects are linked to the macro structure where the individual lives, while indirect effects refer to effects in the adjacent macro structures where the individual lives. The results show that both types of effects are significant. The importance of the direct effects is predicted by RPIF, while the importance of the indirect effects is a new result that shows the complexity of the effects of macro structures. The article also shows results for subsamples that allow to test the importance of different factors that have been linked to the excess deaths observed among Hispanics. The effects of such factors are also found to be heterogenous among the different Hispanic subgroups, which also provides evidence in favor of the Segmented Assimilation Theory. Access to health insurance and doctor density are found to be the most important elements that serve as protective factors for all Hispanic subgroups in New York City, signaling its importance in achieving assimilation for Hispanic immigrants to New York City.