Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data
本文开发了新的统计模型，用于分析关联调查和行政数据中的就业收入，纳入四种测量误差类型，并发现误差分布因个体特征而异，首次提供了英国证据。
Abstract We develop and apply new statistical models for linked survey and administrative data on employment earnings, incorporating 4 types of measurement error. In addition, we allow error distributions to differ with individual characteristics, which improves model fit and allows us to investigate substantive hypotheses about factors associated with error bias and variance. Contributing the first UK evidence to a field dominated by findings about the USA, we show that measurement errors are pervasive, but the 4 types are quite different in nature. We also document substantial heterogeneity in each of the error distributions.