IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/982eef5914cb4e39b91da7114b02fd78.html
   My bibliography  Save this paper

What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Public Program Evaluation

Author

Listed:
  • Mariel McKenzie Finucane
  • Ignacio Martinez
  • Scott Cody

Abstract

In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries.

Suggested Citation

  • Mariel McKenzie Finucane & Ignacio Martinez & Scott Cody, "undated". "What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Public Program Evaluation," Mathematica Policy Research Reports 982eef5914cb4e39b91da7114, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:982eef5914cb4e39b91da7114b02fd78
    as

    Download full text from publisher

    File URL: http://journals.sagepub.com/doi/full/10.1177/1098214017737173
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
    2. Ankita Patnaik & Jonathan Gellar & Rebecca Dunn & Brian Goesling, "undated". "Text Message Reminders and Their Impact on Attendance at Healthy Marriage and Relationship Education Workshops," Mathematica Policy Research Reports c090e695c9624337ab886b1c0, Mathematica Policy Research.

    More about this item

    Keywords

    heterogeneous impacts; Bayesian statistics; adaptive design; hierarchical models; randomized control trials;
    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:982eef5914cb4e39b91da7114b02fd78. 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.