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）：该项目研究了家庭和社区环境如何构成死亡率，婚姻和繁殖。在检查家庭环境的影响时，它超出了父母和其他近亲的特征的影响，专注于生活在其他家庭甚至社区中的角色。在研究社区环境的影响时，它超出了对地理和经济特征的考虑，专注于社区社会组织。受社会学文献的最新发展的启发，它评估了居民也被亲属关系结合在一起的社区是否具有更高水平的集体效力和更好地提供公共物品，从而导致人口统计学成就更有利。为了测试有关家庭变化和变异决定因素的理论，研究还研究了观察到的家庭和社区背景效应的模式如何响应社会，经济和政治环境中的世俗变化和地理变化而有所不同。该研究利用了有史以来为历史和当代人口编辑的最大，最长，最详细的小组数据集之一 - 从1650年到现在，有30万人生活在中国东北部的17代人。该项目将现有的核心数据从130万个个人级别的观察结果联系起来，从历史悠久的记录到家庭家谱的记录，以及对这些人的回顾性调查，他们的创始祖先在十七世纪定居该地区，以及其20世纪的后裔，以生产一个单一的，单个的，单一的文件进行分析。这些数据补充了社区，地区和省级社会，经济和政治状况的信息。家庭和社区环境对人口和社会成果的影响的测量应用了事件历史技术。固定和随机效应模型用于说明不同级别的个体之间的相关性，包括住宅，血统组，社区和地区。