IDEAS home Printed from https://ideas.repec.org/a/oup/jafrec/v20y2011i4p653-672.html
   My bibliography  Save this article

Methodology Update: Randomised Controlled Trials, Structural Models and the Study of Politics-super- †

Author

Listed:
  • Leonard Wantchekon
  • Jenny Guardado R.

Abstract

This paper explores how the combined use of Randomised Controlled Trials (RCTs) and Structural Models can improve the study of politics. We posit that randomized controlled trials can benefit from the insights provided by structural models, particularly for the type of questions posed in Political Science. Although structural models have been utilized scarcely in politics, the close relationship between theory and empirics required by structural models would help solving many of the current pitfalls of RCTs in political science. For instance, this approach can alleviate concerns of external validity often associated with experimental evidence. We finally present a real political science example to illustrate the implementation of this approach. Copyright 2011 , Oxford University Press.

Suggested Citation

  • Leonard Wantchekon & Jenny Guardado R., 2011. "Methodology Update: Randomised Controlled Trials, Structural Models and the Study of Politics-super- †," Journal of African Economies, Centre for the Study of African Economies, vol. 20(4), pages 653-672, August.
    • Handle: RePEc:oup:jafrec:v:20:y:2011:i:4:p:653-672
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jae/ejr029
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Stefan Kohler, 2013. "More Fair Play in an Ultimatum Game after Resettlement in Zimbabwe: A Field Experiment and a Structural Model," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-12, May.
    2. Cristina Corduneanu-Huci & Michael T. Dorsch & Paul Maarek, 2017. "Learning to constrain: Political competition and randomized controlled trials in development," THEMA Working Papers 2017-24, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Corduneanu-Huci, Cristina & Dorsch, Michael T. & Maarek, Paul, 2021. "The politics of experimentation: Political competition and randomized controlled trials," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 1-21.

    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:oup:jafrec:v:20:y:2011:i:4:p:653-672. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/csaoxuk.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.