Measurement error and misclassification: A comparison of survey and administrative data

• 成果类型: Article
• 署名作者: Kapteyn, Arie; Ypma, Jelmer Y.
• 署名单位: RAND Corporation; University of Groningen
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/513298
• 发表日期: 2007
• 页码: 513-551
• 关键词: consistent sets; variables; earnings; regressions; extent; models; wages

摘要

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.