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Estimating the validity of administrative variables

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  • Bart F. M. Bakker

Abstract

Administrative data have become more important for both official statistics and academic research. One possible problem with such data is that they are biased and have a low validity. Although this problem is often mentioned in a qualitative respect, the validity is seldom quantitatively measured. This article presents a method to estimate the validity of administrative variables. By applying the classical test theory, the validity can be determined by using linked survey and administrative data which should measure the same concepts. This idea is elaborated with an empirical example in which the construct validity of age, gender, educational attainment and wages is determined simultaneously. A linear structural equations model with a measurement component is used to compute the construct validity. The analyses reveal that educational attainment and wages show some bias, but not higher than the bias found in the survey.

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  • Bart F. M. Bakker, 2012. "Estimating the validity of administrative variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(1), pages 8-17, February.
    • Handle: RePEc:bla:stanee:v:66:y:2012:i:1:p:8-17
    DOI: 10.1111/j.1467-9574.2011.00504.x
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    Cited by:

    1. Ton de Waal & Arnout van Delden & Sander Scholtus, 2020. "Multi‐source Statistics: Basic Situations and Methods," International Statistical Review, International Statistical Institute, vol. 88(1), pages 203-228, April.
    2. Paolo Di Caro, 2018. "Redistribution in real-world PIT: Evidence from Italian tax records," Working Papers wp2018-2, Ministry of Economy and Finance, Department of Finance.
    3. Paolo Di Caro, 2017. "The contribution of tax statistics for analysing regional income disparities in Italy," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-27, March.

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