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Survey Weighting after Imperfect Linkage to an Administrative File

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  • James Chipperfield

Abstract

This paper proposes an instrumental variable regression estimator of population totals using a sample, a set of links between the sample units and records on an administrative file, and a set of calibration totals calculated from the administrative file. This paper proposes a survey‐weighted estimator of a population total that is valid when the survey non‐response mechanism is non‐ignorable and false negatives occur in the administrative‐survey linkage. False negatives lead to measurement error in the administrative variables that are available on the survey and will lead to biased estimates if not taken into account. We show the benefit of the proposed approach in a simulation and in a case study.

Suggested Citation

  • James Chipperfield, 2022. "Survey Weighting after Imperfect Linkage to an Administrative File," International Statistical Review, International Statistical Institute, vol. 90(3), pages 419-436, December.
    • Handle: RePEc:bla:istatr:v:90:y:2022:i:3:p:419-436
    DOI: 10.1111/insr.12490
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    References listed on IDEAS

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    1. James Chipperfield, 2019. "A weighting approach to making inference with probabilistically linked data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 73(3), pages 333-350, August.
    2. Kott, Phillip S. & Chang, Ted, 2010. "Using Calibration Weighting to Adjust for Nonignorable Unit Nonresponse," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1265-1275.
    3. James Chipperfield & Noel Hansen & Peter Rossiter, 2018. "Estimating Precision and Recall for Deterministic and Probabilistic Record Linkage," International Statistical Review, International Statistical Institute, vol. 86(2), pages 219-236, August.
    4. Changbao Wu & Wilson W. Lu, 2016. "Calibration Weighting Methods for Complex Surveys," International Statistical Review, International Statistical Institute, vol. 84(1), pages 79-98, April.
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