The Social Contexts of Children of Immigrants in the US

描述（由申请人提供）：该项目将研究在社区或家庭层面定义的社会背景，其中移民父母的子女在美国抚养，并确定与这些背景相关的家庭/家庭，父母和大都市特征。从理论上讲，它是由三种不同的合并模式的文学概念化指导：传统同化，向下同化（或种族化的合并），和多元化的选择。由于这些模式中没有一个足以充分理解当代移民群体的融合，我们的主要目标是更准确地确定每种模式发挥作用的情况。为了实现项目目标，将对2000年美国人口普查的微观数据和摘要文件进行分析，借鉴调查人员以前在儿童福利措施和地点实现模型方面的工作。家庭和邻里结果的多层次模型将估计为36个不同的移民群体，以及为所有主要种族群体和西班牙裔的本地家庭的儿童。这些模型将包括父母，家庭和大都市的特征作为自变量，并将允许检查特定的影响，通过大都市一级变量和较低级别的变量之间的相互作用，以各种大都市地区。为了分析社区层面的结果，研究人员已经获得许可，可以使用纽约市研究数据中心的设施，将地理信息系统和人口普查记录联系起来，这将通过使用特定国家的群体在理论上扩展阿尔巴-洛根地理位置获得模型，并通过在不包括焦点家庭的情况下估计社区特征在方法上扩展阿尔巴-洛根地理位置获得模型。我们将特别分析导致移民子女在社会弱势家庭和社区长大的因素。由于经济资源有限和居住在贫困社区对获得医疗保健和暴露于健康风险有影响，研究结果将提供更好的理解健康结果的重要决定因素，并确定特定群体中的儿童，特别是大都市地区有可能出现不良健康结果。

DESCRIPTION (provided by applicant): This project will examine the social contexts, defined at the neighborhood or household level, in which the children of immigrant parents are being reared in the U.S. and identify the family/household, parental and metropolitan characteristics associated with these contexts. Theoretically, it is guided by the conceptualization in the literature of three distinct patterns of incorporation: conventional assimilation, downward assimilation (or racialized incorporation), and the pluralist alternative. Since no one of these patterns is adequate for a full understanding of the incorporation of contemporary immigrant groups, our major goal is to identify more precisely the circumstances under which each pattern comes into play. To achieve project goals, both microdata and summary files from the 2000 U.S. Census will be analyzed, drawing upon the investigators' previous work on measures of child well-being and on locational-attainment models. Multi-level models of household and neighborhood outcomes will be estimated for 36 different immigrant groups, as well as for the children in the native families of all the major race groups and Hispanics. These models will include parental, household, and metropolitan characteristics as independent variables and will allow the examination of effects specific to kinds of metropolitan areas through interactions between metropolitan-level variables and lower-level ones. To analyze neighborhood-level outcomes, the investigators have received permission to use the facilities of the New York City Research Data Center to link PUMS and census-tract records, which will extend the Alba-Logan locational attainment models theoretically by using country-specific groups and methodologically by estimating neighborhood characteristics without the focal household included. We will analyze in particular the factors that lead the children of immigrants to grow up in socially advantaged or disadvantaged households and neighborhoods. Since limited economic resources and residence in poverty-stricken neighborhoods have implications for access to health care and exposure to health risks, the findings will provide improved understanding of important determinants of health outcomes and identify children in specific groups in particular metropolitan areas that are at risk for adverse health outcomes.