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            Differential Undercounts in the U.S. Census

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            Author(s)
            O’Hare, William P.
            Language
            English
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            Abstract
            This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/190193
            Keywords
            Social sciences; Demography; Statistics ; Social sciences; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
            DOI
            10.1007/978-3-030-10973-8
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2019
            Series
            SpringerBriefs in Population Studies,
            Pages
            167
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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