IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v171y2008i3p581-613.html
   My bibliography  Save this article

Design‐based analysis of embedded experiments with applications in the Dutch Labour Force Survey

Author

Listed:
  • Jan A. Van Den Brakel

Abstract

Summary. Previous research has proposed a design‐based analysis procedure for experiments that are embedded in complex sampling designs in which the ultimate sampling units of an on‐going sample survey are randomized over different treatments according to completely randomized designs or randomized block designs. Design‐based Wald and t‐statistics are applied to test whether sample means that are observed under various survey implementations are significantly different. This approach is generalized to experimental designs in which clusters of sampling units are randomized over the different treatments. Furthermore, test statistics are derived to test differences between ratios of two sample estimates that are observed under alternative survey implementations. The methods are illustrated with a simulation study and real life applications of experiments that are embedded in the Dutch Labour Force Survey. The functionality of a software package that was developed to conduct these analyses is described.

Suggested Citation

  • Jan A. Van Den Brakel, 2008. "Design‐based analysis of embedded experiments with applications in the Dutch Labour Force Survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 581-613, June.
    • Handle: RePEc:bla:jorssa:v:171:y:2008:i:3:p:581-613
    DOI: 10.1111/j.1467-985X.2008.00532.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-985X.2008.00532.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-985X.2008.00532.x?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan van den Brakel & Xichuan (Mark) Zhang & Siu‐Ming Tam, 2020. "Measuring Discontinuities in Time Series Obtained with Repeated Sample Surveys," International Statistical Review, International Statistical Institute, vol. 88(1), pages 155-175, April.
    2. James Chipperfield & Philip Bell, 2010. "Embedded experiments in repeated and overlapping surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 51-66, January.
    3. Buelens Bart & Van den Brakel Jan A., 2017. "Comparing Two Inferential Approaches to Handling Measurement Error in Mixed-Mode Surveys," Journal of Official Statistics, Sciendo, vol. 33(2), pages 513-531, June.

    More about this item

    Statistics

    Access and download statistics

    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:bla:jorssa:v:171:y:2008:i:3:p:581-613. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.