Combining Survey and Population Data on Birth and Family

描述（由申请人提供）：儿童父母在出生时和养育子女期间的家庭和社会经济状况是儿童健康和福祉的基本决定因素。这项研究的总体目标是制定统计方法，将调查和人口数据收集（特别是出生和婚姻与非婚姻结合）结合起来，以更好地估计这些出生和儿童情况。具体目标是：（1）制定和测试统计方法，以便将联合收割机多种来源的调查数据和人口数据结合起来;（2）改进对生育率和婚姻与非婚姻结合回归方程参数的估计，以及对模拟生命过程生育率和结合持续时间的测量;（3）扩大统计能力并向人口统计界传播。它将表明，人口和调查数据相结合的估计允许更多的建模细节比单独使用人口数据时，更精确的估计比单独使用调查数据时。进一步的统计发展将使调查数据能够从一个以上的数据集合并，从而获得与合并调查和人口数据相同的一些好处。还将制定和应用各种方法，以纳入人口数据的不准确程度，以及人口收集与调查的抽样框架和收集方法之间的不完全匹配。美国和英国方法的应用比较将在比美国更广泛的人口数据收集类型中探索其优势和挑战。在多个发达国家的应用将表明，将调查和人口数据相结合的方法可以用来克服对跨国比较的严格限制。

DESCRIPTION (provided by applicant): The family and socio-economic circumstances of children's parents at birth and during the childrearing years are fundamental determinants of children's health and well-being. This study's overall objective is to develop statistical methods for combining surveys and population data collections (especially of births and marital and non-marital unions) for the improved estimation of these birth and childhood circumstances. Specific aims are to (1) Develop and test statistical methods to combine multiple sources of survey data and population data; (2) Improve estimates of the parameters of fertility and marital and non-marital union regression equations, and of simulated life-course fertility and union duration measures; and (3) to expand and disseminate the statistical capabilities to the demographic community. It will be shown that combining population and survey data in the estimation allows for more modeling detail than when using population data alone, and more precise estimates than when using survey data alone. Further statistical development will allow for survey data to be combined from more than one data set, thereby obtaining some of the same benefits as from combining survey and population data. Methods for incorporating degrees of inaccuracy in the population data, and imperfect matches between the population collection and the survey's sampling frame and collection methods, will also be developed and applied. Comparative applications of the methods between the U.S. and the U.K. will be made to explore their advantages and challenges over a greater range of population data collection types than available in the U.S. alone. Applications across multiple developed countries will demonstrate that methods for combining survey and population data can be used to overcome the otherwise severe restrictions placed on cross-national comparisons.