IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/5453e69bbf924ecab4a24081c59a347f.html
   My bibliography  Save this paper

Analyzing Grouped Administrative Data for RCTs Using Design-Based Methods

Author

Listed:
  • Peter Z. Schochet

Abstract

This article discusses estimation of average treatment effects for randomized controlled trials (RCTs) using grouped administrative data to help improve data access.

Suggested Citation

  • Peter Z. Schochet, "undated". "Analyzing Grouped Administrative Data for RCTs Using Design-Based Methods," Mathematica Policy Research Reports 5453e69bbf924ecab4a24081c, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:5453e69bbf924ecab4a24081c59a347f
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/1076998619855350
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Fangzhou Su & Peng Ding, 2021. "Model‐assisted analyses of cluster‐randomized experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 994-1015, November.
    2. Peter Z. Schochet, 2021. "Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing," Papers 2102.06770, arXiv.org, revised Oct 2021.

    More about this item

    Keywords

    administrative data; randomized controlled trials; data aggregation; design-based estimators; clustered designs; blocked designs; ecological inference;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mpr:mprres:5453e69bbf924ecab4a24081c59a347f. 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: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.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.