IDEAS home Printed from
   My bibliography  Save this article

Minimum Detectable Effects


  • Howard S. Bloom

    (New York University)


This article describes a simple way to assess the statistical power of experimental designs. The approach presented is based on the concept of a minimum detectable effect, which, intuitively, is the smallest true impact that an experiment has a good chance of detecting. The article illustrates how to compute minimum detectable effects and how to apply this concept to the assessment of alternative experimental designs. Applications to impact estimators for both continuous and binary outcome measures are considered

Suggested Citation

  • Howard S. Bloom, 1995. "Minimum Detectable Effects," Evaluation Review, , vol. 19(5), pages 547-556, October.
  • Handle: RePEc:sae:evarev:v:19:y:1995:i:5:p:547-556

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-032, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Blackman, Allen & Goff, Leonard & Rivera Planter, Marisol, 2018. "Does eco-certification stem tropical deforestation? Forest Stewardship Council certification in Mexico," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 306-333.
    3. Eric W. Djimeu & Deo-Gracias Houndolo, 2016. "Power calculation for causal inference in social science: sample size and minimum detectable effect determination," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(4), pages 508-527, October.

    More about this item


    Access and download statistics


    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:sae:evarev:v:19:y:1995:i:5:p:547-556. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.