Measurement Error and Misclassification: A Comparison of Survey and Administrative Data
从理论和实证上分析行政数据与调查数据的关系，区分不同误差来源以复现典型事实，并展示误差对简单计量模型估计的严重偏误，指出文献中常见的均值回归现象在允许更丰富误差结构后基本消失。
We provide both a theoretical and empirical analysis of the relation between administrative and survey data. By distinguishing between different sources of deviations between survey and administrative data we are able to reproduce several stylized facts. We illustrate the implications of different error sources for estimation in (simple) econometric models and find potentially very substantial biases. This article shows the sensitivity of some findings in the literature for the assumption that administrative data represent the truth. In particular, the common finding of substantial mean reversion in survey data largely goes away once we allow for a richer error structure.