IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v35y2019i3p577-597n4.html
   My bibliography  Save this article

Connecting Correction Methods for Linkage Error in Capture-Recapture

Author

Listed:
  • de Wolf Peter-Paul

    (Statistics Netherlands, P.O.Box 24500, 2490 HA The Hague, The Netherlands.)

  • van der Laan Jan

    (Statistics Netherlands, P.O.Box 24500, 2490 HA The Hague, The Netherlands.)

  • Zult Daan

    (Statistics Netherlands, P.O.Box 24500, 2490 HA The Hague, The Netherlands.)

Abstract

A commonly known problem in population size estimation using registers, is that registers do not necessarily cover the whole population. This may be because they intend to cover part of the population (e.g., students), due to administrative delay or because part of the target population is not registered by default (e.g., illegal persons). One of the methods to estimate the population size in the presence of undercount is the capture-recapture method that combines the information of two or more samples. In the context of census estimation registers are used instead of samples. However, the method assumes that perfect linkage between the registers can be achieved. It is known that this assumption is often violated.In the setting of evaluating the population coverage of a census using a post-enumeration survey, a correction for linkage error was proposed. That correction was later generalized by relaxing some of the newly introduced conditions. However, the new correction method still implicitly assumed that the two registers are of equal size. We introduce a further generalization that includes both previously mentioned correction methods and at the same time deals with registers of different sizes. Specific parameter settings will correspond to the different correction methods. We show that the parameters of each method can be chosen such that the resulting estimates all equal the traditional Petersen estimate (1896) that would theoretically be obtained under truly perfect linkage.

Suggested Citation

  • de Wolf Peter-Paul & van der Laan Jan & Zult Daan, 2019. "Connecting Correction Methods for Linkage Error in Capture-Recapture," Journal of Official Statistics, Sciendo, vol. 35(3), pages 577-597, September.
  • Handle: RePEc:vrs:offsta:v:35:y:2019:i:3:p:577-597:n:4
    DOI: 10.2478/jos-2019-0024
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jos-2019-0024
    Download Restriction: no

    File URL: https://libkey.io/10.2478/jos-2019-0024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Di Consiglio Loredana & Tuoto Tiziana, 2015. "Coverage Evaluation on Probabilistically Linked Data," Journal of Official Statistics, Sciendo, vol. 31(3), pages 415-429, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bijak Jakub & Bryant Johan & Gołata Elżbieta & Smallwood Steve, 2021. "Preface," Journal of Official Statistics, Sciendo, vol. 37(3), pages 533-541, September.
    2. 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.
    3. Zhang Li-Chun, 2019. "A Note on Dual System Population Size Estimator," Journal of Official Statistics, Sciendo, vol. 35(1), pages 279-283, March.
    4. Di Consiglio Loredana & Tuoto Tiziana, 2018. "Population Size Estimation and Linkage Errors: the Multiple Lists Case," Journal of Official Statistics, Sciendo, vol. 34(4), pages 889-908, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:offsta:v:35:y:2019:i:3:p:577-597:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.