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Ashton M. Verdery
Researcher at Pennsylvania State University
Publications - 65
Citations - 1434
Ashton M. Verdery is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 18, co-authored 53 publications receiving 937 citations. Previous affiliations of Ashton M. Verdery include University of North Carolina at Chapel Hill.
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Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States.
TL;DR: The bereavement multiplier is a useful indicator for tracking COVID-19’s multiplicative impact as it reverberates across American families and can be tailored to other causes of death, and researchers can estimate the bereavement burden over the course of the epidemic in lockstep with rising death tolls.
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Binational social networks and assimilation: A test of the importance of transnationalism
TL;DR: This analysis uses unique bi-national data on the social network connecting an immigrant sending community in Guanajuato, Mexico, to two destination areas in the United States to indicate qualified empirical support for a network-based model of transnationalism.
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Social Networks and Transnational Social Fields: A Review of Quantitative and Mixed-Methods Approaches:
TL;DR: This paper argued that migrants create transnational social fields or spaces that connect their place of origin to destination areas, but they did not consider the centrality of social networks in transnationalism.
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Older Adults Without Close Kin in the United States.
TL;DR: Kinless-ness is becoming more common among adults in their 50s and 60s for more recent birth cohorts, and is more prevalent among women than men, native born than immigrants, never-married, those living alone, college-educated women, those with low levels of wealth, and those in poor health.
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Social and Spatial Networks: Kinship Distance and Dwelling Unit Proximity in Rural Thailand.
TL;DR: A unique dataset from Nang Rong, Thailand which contains dwelling unit locations (GPS) and saturated kinship networks of all individuals living in 51 agricultural villages is used and shows that in general, extended kin live closer to one another than do unrelated individuals.