Integrated Samples of Latin American Censuses

描述(由申请人提供)：该提案寻求继续提供资金，以开发和支持大规模微观数据档案，这些数据来自过去半个世纪被列举的23个拉丁美洲国家的100多次人口普查。这些数据是综合公共使用微观数据系列(IPUMS)的重要组成部分，该系列是人口和卫生研究中使用最频繁的来源之一。拉丁美洲是唯一一个拥有几十年来几乎每个国家的微观数据的地区。经过改进和扩大的数据库将使研究人员能够在整个半球比较50年来的变革性变化，并将产生大量与健康相关的研究，涉及经济发展、生育率和死亡率下降、国际移民和家庭变化之间的相互关系。拉丁美洲微型数据档案是对世界人口研究基础设施的永久和实质性贡献。通过使研究人员容易地获取这些数据并开发全面和可理解的文件，该项目正在鼓励超越国界和静态解释的新研究。该项目有四个主要目标：(1)扩大数据库，增加四个新国家的数据，数据库中现有国家的2010年新一轮样本，以及几个现有样本的新的高密度版本。(2)加强数据和元数据，包括新的地理编码，以更好地支持一致的跨国家和跨时间分析，基于住房特征的新的具有国际可比性的生活标准指数，以及新的变量，以便进行更准确的方差估计。(3)通过实施新颖的数据库结构、创新的元数据工具和多种新功能来改进数据基础设施和访问，以简化数据操作并减少研究人员的冗余工作。(4)通过用户支助、培训和外联以及执行新计划确保数据和元数据的长期保存，确保传播和可持续性。这一基础设施是卫生研究和政策分析的基本资源。过去的模型和描述既是过去社会变革的理论基础，也是对未来的预测。因此，数据系列为研究健康和人口过程提供了一个独特的实验室，并为我们开发和测试社会和经济模型提供了所需的经验基础。

DESCRIPTION (provided by applicant): This proposal seeks continuation funding to develop and support a vast archive of large-scale micro-data drawn from over 100 censuses of 23 Latin American countries enumerated over the past half century. These data are a vital component of the Integrated Public Use Micro-data Series (IPUMS), one of the most intensively-used sources for population and health research. Latin America is the only region with surviving micro-data for virtually every country over multiple decades. The improved and expanded database will allow investigators to make comparisons across an entire hemisphere during five decades of transformative change, and will result in substantial new health-related research on the interrelationships of economic development, fertility and mortality decline, international migration, and family change. The Latin American micro-data archive represents a permanent and substantial contribution to the world's population research infrastructure. By making these data easily accessible to researchers and developing comprehensive and comprehensible documentation, the project is stimulating new research that transcends national boundaries and static interpretation. The project has four major goals: (1) Expand the database, adding data for four new countries, new 2010 round samples for countries currently in the database, and new higher-density versions of several existing samples. (2) Enhance data and metadata, including new geographic coding to better support consistent cross- national and cross-temporal analysis, a new internationally-comparable living standard index based on housing characteristics, and new variables to allow more precise variance estimation. (3) Improve data infrastructure and access by implementing a novel database structure, innovative new metadata tools, and multiple new capabilities to simplify data manipulation and reduce redundant effort by researchers. (4) Ensure dissemination and sustainability through user support, training, and outreach, and implementation of a new plan to ensure long-run preservation of the data and metadata. This infrastructure is a basic resource for health research and policy analysis. Models and descriptions of the past underlie both theories of past social change and projections into the future. Accordingly, the data series provides a unique laboratory for the study of health and demographic processes, and provides the empirical foundation we need for developing and testing social and economic models.