Combining Survey and Population Data on Birth and Family

说明(申请人提供)：儿童父母出生时和育儿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开发统计方法，将调查和人口数据收集结合起来(特别是对出生和婚姻和非婚姻关系的数据收集)，以改进对这些出生和童年情况的估计。具体目标是：(1)开发和测试统计方法，将多种来源的调查数据和人口数据结合起来；(2)改进生育率和婚姻和非婚结合回归方程的参数估计，以及模拟的生命过程生育率和结合持续时间的测量；(3)扩大统计能力，并将其传播给人口群体。这将表明，在估计中结合人口和调查数据比单独使用人口数据时允许更多的建模细节，比单独使用调查数据时更精确的估计。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，从而获得一些与合并调查和人口数据相同的好处。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的抽样框架和收集方法之间不完全匹配的方法。将对美国和英国的方法进行比较应用，以探索它们在更大范围的人口数据收集类型上的优势和挑战，而不是只在美国。在多个发达国家的应用将表明，可以使用将调查和人口数据相结合的方法来克服在其他方面对跨国比较施加的严格限制。

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.