Citation
van der Klaauw, Wilbert (2005). The Sensitivity of Economic Statistics to Coding Errors in Personal Identifiers: Comment.
Journal of Business and Economic Statistics, 23(2), 154-157.
Abstract
The past two decades have witnessed an increased interest among applied researchers, statisticians, and econometricians in the extent and consequences of measurement error in survey data. The increased availability of administrative data has played an important role in bringing about this change, by providing more precisely defined and arguably more accurate measurements of the variable of interest. This has been the case particularly in the study of labor market outcomes, where social security earnings, tax records, and administrative records from employers have been linked to survey data to create validation samples against which the accuracy of survey responses can be assessed. A recent comprehensive survey by Bound, Brown, and Mathiowetz (2001) described how administrative data on employment related outcomes such as earnings, hours of work, unemployment, industry, occupation, and other variables, including benefit receipt, health status, health care use, and education, have been used to assess the magnitude and nature of measurement errors in these variables in such surveys as the SIPP, CPS, and PSID. Most of these studies present evidence of significant and often nonclassical measurement errors, which can lead to substantial bias in econometric model estimates
URL
http://dx.doi.org/10.1198/073500104000000721Reference Type
Journal Article
Year Published
2005
Journal Title
Journal of Business and Economic Statistics
Author(s)
van der Klaauw, Wilbert
