Improvement of the Sampling Methods in Official Statistics and Assessment of the Disclosure Risk of Microdata Sets

我们的目的是评估微观数据的披露风险，并改进官方统计的抽样方法，通常使用观测样本量指数和估计总体规模指数来评估从总体中抽样的微观数据的披露风险。在基于样本量指标的种群规模指数估计中，基于超种群模型的参数方法是当今的主流方法。我们提出了一种非参数极大似然估计方法，该方法使用了对总体规模指标的一些简单约束，并尝试采用推广的Zipf模型来进行约束。同时，还研究了利用亚总体信息的估计方法，以及微观数据的风险评估、表格数据的一些问题和数据的有用性。研究了屏蔽的微观数据。我们被允许使用三个官方统计数据，即劳动力调查、家庭收入和支出调查和全国家庭收入和支出调查，然后我们可以为每个统计数据呈现安全的微观数据集的形式。在劳动力统计调查的考试中，我们考虑了时间序列，我们不仅使用了家庭的属性，还使用了个人的属性来进行其他两个统计。我们每年都会与其他研究小组联合举办一个研讨会和几个工作坊，与各个领域的研究人员交流意见。我们在《统计数学研究所学报》上策划了一期特刊《微观数据披露的统计理论》，其中包含了我们的文章。我们的研究成果也发表在各种期刊上。

Our aim was to assess the disclosure risk of microdata and to improve the sampling methods of the official statistics.The observed sample size indexes and the estimated population size indexes are often used to assess the disclosure risk of microdata which is sampled from a population. In estimation of population size indexes based on sample size indexes, the parametric method with a superpopulation model is the mainstream today. We proposed a nonparametric maximum likelihood estimation method in which some simple restrictions for population size indexes were used, and tried to adopt the generalized Zipf's model for the restriction. The estimation method using information of subpopulations was also investigated Simultaneously with the risk assessment of microdata, some problems for the tabular data and usefulness of the. masked microdata were studied.We were permitted to use three official statistics, Labour Force Survey, Family Income and Expenditure Survey and National Survey of Family Income and Expenditure, and then we could present the form of the safe microdata set for each statistics. In examination for Labour Force Survey the time series were taken into consideration, and we used not only attributes of households but also those of individuals for other two statistics.We held one symposium and several workshops every year in alliance with other research groups to exchange ideas with the researchers in various fields. We planed the special issue "Statistical Theory for Disclosure of Microdata" in Proceedings of the Institute of Statistical Mathematics, in which our articles were contained. Our research results were also presented in various journals.