Estimating the Density of Ethnic Minorities and Aged People in Berlin: Multivariate Kernel Density Estimation Applied to Sensitive Georeferenced Administrative Data Protected Via Measurement Error
本文提出一种多元非参数核密度估计方法，通过测量误差模型逆转地理坐标取整过程，在保护数据机密性的同时，利用柏林居民登记数据估计少数民族和老年人口密度，以识别需要新建移民咨询中心和老年基础设施的区域。
Summary Modern systems of official statistics require the timely estimation of area-specific densities of subpopulations. Ideally estimates should be based on precise geocoded information, which is not available because of confidentiality constraints. One approach for ensuring confidentiality is by rounding the geoco-ordinates. We propose multivariate non-parametric kernel density estimation that reverses the rounding process by using a measurement error model. The methodology is applied to the Berlin register of residents for deriving density estimates of ethnic minorities and aged people. Estimates are used for identifying areas with a need for new advisory centres for migrants and infrastructure for older people.