Demographic Responses to Community and Family Context

对社区和家庭背景的人口统计反应

• 批准号: 7219367
• 负责人: JAMES Z LEE
• 金额: $ 28.04万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2009-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7219367
• 关键词: Accounting; Affect; Area; Attention; Behavior; Binding; Characteristics; China; Communities; Condition; Data; Data Files; Data Set; Depth; Development; Economics; Education; Environment; Event; Event History Analysis; Family; Family Study; Fertility; Genealogy; Generations; Hand; Household; Individual; Institution; Life; Link; Literature; Location; Marriage; Measurement; Measures; Modeling; Neighborhoods; Nuclear Family; Numbers; Occupational; Outcome; Parents; Pattern; Physical environment; Population; Positioning Attribute; Production; Productivity; Province; Recording of previous events; Records; Relative (related person); Reproduction; Research; Role; Rural; Shapes; Side; Societies; Socioeconomic Status; Stratification; Structure; Surveys; Techniques; Testing; Time; Variant; base; family influence; geographic difference; improved; life history; member; mortality; residence; response; size; social; social capital; social organization; socioeconomics; theories

DESCRIPTION (provided by applicant): This project examines how family and community context interact to shape mortality, marriage, and reproduction. In examining the influence of family context, it moves beyond effects of characteristics of parents and other close relatives to focus on the role of kin living in other households and even communities. In examining the influence of community context, it moves beyond consideration of geographic and economic characteristics to focus on community social organization. Inspired by recent developments in the sociological literature on neighborhoods, it assesses whether or not communities where residents were also bound together by kinships ties had higher levels of collective efficacy and better provision of public goods that resulted in more favorable demographic outcomes. To test theories about the determinants of family change and variation, the research also examines how observed patterns of family and community contextual effects vary in response to secular changes and geographic variation in social, economic, and political context. The research makes use of one of the largest, longest, and most detailed panel data sets ever compiled for an historical and contemporary population - 300,000 individuals who lived in northeast China from 1650 to the present over as many as seventeen generations. The project links existing core data from 1.3 million individual-level observations from historical household registers, to records from family genealogies, and retrospective surveys of these same individuals, their founding ancestors who settled the area in the seventeenth century, and their twentieth-century descendants, to produce a single, rectangular file for analysis. These data are supplemented with information at the community, regional, and provincial level on social, economic, and political conditions. Measurements of the influence of family and community context on demographic and social outcomes apply event-history techniques. Fixed- and random-effect models are used to account for correlations among individuals at different levels, including the Residential household, descent group, community, and region.

描述（由申请人提供）：该项目研究家庭和社区背景如何相互作用来影响死亡率、婚姻和生育。在考察家庭背景的影响时，它超越了父母和其他近亲特征的影响，重点关注生活在其他家庭甚至社区的亲属的作用。在考察社区背景的影响时，它超越了对地理和经济特征的考虑，重点关注社区社会组织。受社区社会学文献最新发展的启发，它评估了居民也通过亲属关系联系在一起的社区是否具有更高水平的集体效能和更好地提供公共产品，从而导致更有利的人口结果。为了检验有关家庭变化和变异的决定因素的理论，该研究还研究了观察到的家庭和社区背景效应模式如何随着社会、经济和政治背景的长期变化和地理变化而变化。该研究利用了迄今为止针对历史和当代人口编制的最大、最长、最详细的面板数据集之一——从 1650 年至今居住在中国东北地区的 30 万人，历经 17 代人。该项目将来自历史户口登记的 130 万个人层面观察的现有核心数据与家族谱系记录以及对这些个人、他们在 17 世纪定居该地区的开国祖先以及他们 20 世纪后裔的回顾性调查联系起来，生成单个矩形文件以供分析。这些数据还补充了社区、地区和省级社会、经济和政治状况的信息。家庭和社区背景对人口和社会结果的影响的测量应用事件历史技术。固定效应和随机效应模型用于解释不同级别个体之间的相关性，包括居民家庭、血统群体、社区和地区。