Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data
提出一种不预设测量误差统计特性的新方法，利用美国人口普查局调查数据与社会保障局行政数据的链接，比较两种来源的年度收入可靠性，发现两者可靠性相似，但调查数据中插补值的情况例外。
Abstract We propose a new methodology that does not assume a prior specification of the statistical properties of the measurement errors and treats all sources as noisy measures of some underlying true value. The unobservable true value can be represented as a weighted average of all available measures, using weights that must be specified a priori unless there has been a truth audit. The Census Bureau's Survey of Income and Program Participation (SIPP) survey jobs are linked to Social Security Administration earnings data, creating two potential annual earnings observations. The reliability statistics for both sources are quite similar except for cases where the SIPP used imputations for some missing monthly earnings reports.