Efficient Survey Sampling of Households via Gaussian Quadrature
本文提出一种基于高斯求积的高效调查抽样方法，利用家庭规模和教育程度等易观测特征进行子抽样，在莫桑比克数据中比同等规模随机样本更准确估计家庭支出矩。
Summary The collection of data through surveys is a costly and time-consuming process, particularly when complex economic data are involved. The paper presents an efficient approach, based on Gaussian quadrature, to survey sampling when some information is available about the target population. Using household data from Mozambique, we demonstrate that Gaussian quadrature subsamples, based on relatively easy to observe household characteristics such as size and educational attainment of members, generate better estimates of the moments of household expenditure than random samples of equal size.