Small-Area Estimation of Economic Statistics
提出一种比率相关（多元回归）方法，用于估计小区域的关键经济统计量，并与多种合成估计方法比较，利用易获取的公开数据以合理误差估计未发布的统计量。
A ratio-correlation (multiple regression) approach for estimating key economic statistics for small areas is proposed and compared with several synthetic estimation methods using various measures of performance. Using published data that are easily accessible, the methods provide a means of estimating statistics not currently published with a reasonable amount of error.