Filipino Early Childhood Development--Longitudinal Anal*

描述：儿童早期发展(ECD)被认为是重要的 学校教育和终身生产力。因此，各国政府和国际社会 世界银行等组织最近扩大了对幼儿发展的重视 在发展中国家的项目。但对(1)ECD的分析还很少 发展中国家的总体方案，特别是事后方案 纵向数据，(2)发展中国家的幼儿发展方案与 最初的学校成功，以及(3)与幼儿发展相关的政策如何影响这些结果 政策效果在多大程度上受到家庭和社区的影响 背景和社会资本。该项目的主要目标是扩展和 分析政策变化前后独特的纵向家庭和 服务提供商关于菲律宾新的ECD计划的调查数据，并加强 人口研究办公室(OPS)的分析能力 菲律宾宿务圣卡洛斯大学通过合作 研究。具体目标是：(1)调查各方面的 假设这一新的ECD计划对ECD有积极影响，用于 为了这样的目的，第一次从一个 具有基线处理前数据和纵向数据的发展中国家 计划启动后的数据，从初始教育结果的年龄，所有 链接到服务提供商的数据。(2)延伸综合纵向 社会经济、心理和生物医学家庭服务提供者数据库 描述最初年龄为0-4岁的四岁以上儿童和孕妇 他们的家庭和他们生活的社区，包括当地社会 服务--将提高和扩展集成服务质量的数据集 测量和模拟社会经济的社会经济-心理社会-生物医学数据 在发展中国家取得的成果，将提供给 研究人员。(3)通过以下途径加强运维分析能力 协作分析研究，将健康、营养、 除了协作数据外，还有人口和经济方面的问题 收集。

DESCRIPTION: Early childhood development (ECD) is thought to shape important schooling and lifetime productivity. Therefore, governments and international organizations such as the World Bank recently have expanded emphasis on ECD programs in developing countries. But there has been little analysis of (1) ECD programs in developing countries in general, and in particular with pre-post longitudinal data, (2) links between ECD programs in developing countries and initial school success, and (3) how ECD-related policies affect these outcomes and to what extent policy effects are mediated by family and community background and social capital. The principal project aim is to extend and analyze unique longitudinal pre- and post-policy change household and service-provider survey data on a new Filipino ECD program and to strengthen the analytical capacities of Office of Population Studies (OPS) at the University of San Carlos in Cebu in the Philippines through collaborative research. Specific aims are: (1) To investigate various aspects of the hypothesis that this new ECD program has positive effects on ECD, using for the first time for such a purpose a large stratified random household survey from a developing country with baseline pre-treatment data and longitudinal post-program-initiation data through the age of initial schooling outcomes, all linked to data on service providers. (2) To extend an integrated longitudinal socioeconomic, psychosocial and biomedical household-service provider data base describing over four years children initially aged 0-4 and pregnant women and their families and the communities in which they live, including local social services -- a data set that will improve and expand the quality of integrated socioeconomic-psychosocial-biomedical data to measure and model socioeconomic outcomes in developing countries and that will be made available to researchers. (3) To strengthen the analytical capacity of OPS through collaborative analytical research that integrates health, nutrition, demographic and economic concerns, in addition to collaborative data collection.