Intercensal Updating Using Structure-Preserving Methods and Satellite Imagery
提出一种扩展的结构保持估计方法，结合卫星图像辅助信息，为塞内加尔女性户主家庭提供2013-2020年多维贫困指标的年度小区域更新，并用两个普查周期的数据评估效果。
Abstract Censuses are fundamental building blocks of most modern-day societies, yet collected every 10 years at best. We propose an extension of the widely popular census updating technique structure-preserving estimation by incorporating auxiliary information in order to take ongoing subnational population shifts into account. We apply our method by incorporating satellite imagery as additional source to derive annual small-area updates of multidimensional poverty indicators from 2013 to 2020 for a population at risk: female-headed households in Senegal. We evaluate the performance of our proposal using data from two different census periods.