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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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No Spouse, No Son, No Daughter, No Kin in Contemporary China: Prevalence, Correlates, and Differences in Economic Support
TL;DR: Kin availability among adults aged 45+ in contemporary China is investigated, with an emphasis on child gender, and it is found that those with only daughters are more similar to those with mixed sex children while those withonly sons are moreSimilar to those without children in receipt of economic support.
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Estimating Hidden Population Sizes with Venue-based Sampling: Extensions of the Generalized Network Scale-up Estimator.
TL;DR: This research presents a novel probabilistic approach that allows us to assess the importance of knowing the carrier and removal status of canine coronavirus as a source of infection for other animals.
Journal ArticleDOI
Aging and the Left Behind: Puerto Rico and its Unconventional Rapid Aging.
Amilcar Matos-Moreno,Ashton M. Verdery,Carlos F. Mendes de Leon,Vivianna M De Jesús-Monge,Alexis R. Santos-Lozada +4 more
TL;DR: Policymakers and government leaders must plan for Puerto Rico's unconventional population aging, which will exacerbate traditional concerns about the sustainability of government services and long-term economic prospects and additional concerns emerge related to reduced social support networks.
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The development of respondent-driven sampling (RDS) inference: A systematic review of the population mean and variance estimates.
TL;DR: RDS holds substantial promise as a sampling method for understanding populations at high risk and the varied approaches to inference with RDS data each rely on different assumptions, but some require fewer assumptions than others and provide more robust and accurate inferences.
Posted Content
New Survey Questions and Estimators for Network Clustering with Respondent-Driven Sampling Data
TL;DR: In this paper, the authors introduce a set of data collection instruments and RDS estimators for network clustering, an important topological property that has been linked to a network's potential for diffusion of information, disease, and health behaviors.