Abstract:
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.
Journal of Labor Economics is edited by Derek A. Neal
More articles in Journal of Labor Economics from University of Chicago Press Address: The University of Chicago Press, Journals Division, P.O. Box 37005 Chicago, IL 60637 Series data maintained by Christopher F. Baum ().
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