Combining Survey and Population Data on Birth and Family

说明（由申请人提供）：儿童父母在出生时和养育期间的家庭和社会经济环境是儿童健康和福祉的根本决定因素。这项研究的总目标是发展统计方法，将调查和人口数据收集（特别是出生和婚姻及非婚姻结合）结合起来，以改进对这些出生和童年情况的估计。具体目标是：(1)发展和试验统计方法，以结合多种来源的调查数据和人口数据；(2)改进了生育率、婚姻和非婚姻结合回归方程参数的估计，以及模拟生命过程生育率和结合持续时间措施的估计；(3)向人口学界推广和传播统计能力。将表明，在估计中结合人口和调查数据比单独使用人口数据提供了更多的建模细节，并且比单独使用调查数据提供了更精确的估计。进一步的统计发展将使调查数据能够结合多个数据集，从而获得与结合调查和人口数据相同的一些好处。还将制定和应用纳入人口数据不准确程度的方法，以及人口收集与调查抽样框架和收集方法之间不完全匹配的方法。将对美国和英国之间的方法进行比较应用，以探索它们在比美国单独可用的更大范围的人口数据收集类型上的优势和挑战。在多个发达国家的应用将表明，结合调查和人口数据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.