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1.
Gastroenterol Nurs ; 45(3): 146-147, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35533320
2.
Demography ; 54(1): 285-309, 2017 02.
Artigo em Inglês | MEDLINE | ID: mdl-28105579

RESUMO

The American Community Survey (ACS) provides valuable, timely population estimates but with increased levels of sampling error. Although the margin of error is included with aggregate estimates, it has not been incorporated into segregation indexes. With the increasing levels of diversity in small and large places throughout the United States comes a need to track accurately and study changes in racial and ethnic segregation between censuses. The 2005-2009 ACS is used to calculate three dissimilarity indexes (D) for all core-based statistical areas (CBSAs) in the United States. We introduce a simulation method for computing segregation indexes and examine them with particular regard to the size of the CBSAs. Additionally, a subset of CBSAs is used to explore how ACS indexes differ from those computed using the 2000 and 2010 censuses. Findings suggest that the precision and accuracy of D from the ACS is influenced by a number of factors, including the number of tracts and minority population size. For smaller areas, point estimates systematically overstate actual levels of segregation, and large confidence intervals lead to limited statistical power.


Assuntos
Censos , Etnicidade/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos , Características de Residência/estatística & dados numéricos , Inquéritos e Questionários/normas , Confiabilidade dos Dados , Humanos , Reprodutibilidade dos Testes , Estados Unidos
3.
J Ethn Migr Stud ; 40(1): 1-20, 2014 01 01.
Artigo em Inglês | MEDLINE | ID: mdl-24563610

RESUMO

We investigate the difference that immigrant enclaves make for the residential contexts of Latino families in the U.S. We argue that enclaves may no longer function simply as temporary way stations, the classic depiction of them, because of the compromised legal status of many Latinos. We examine this role with an innovative method that uses publicly available census tabulations (from the 2000 Census in our case) to develop HLM models, in which race/ethnicity and income are controlled at the family level, along with neighbourhood context and metropolitan characteristics. Comparing Latino residential patterns to those of whites and blacks reveals the large neighbourhood disadvantages of Latinos, which except for greater exposure to whites are on the order of those suffered by African Americans. We find that Hispanic families improve their residential situations as their incomes go up and usually also when they live in suburbs. But residence outside of immigrant enclaves produces the largest positive changes. The enclaves are a fundamentally different kind of residential space, in which the potential for neighbourhood improvement is modest.

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