IDEAS home Printed from https://ideas.repec.org/p/oec/govaaa/64-en.html
   My bibliography  Save this paper

Seven routes to experimentation in policymaking: A guide to applied behavioural science methods

Author

Listed:
  • Chiara Varazzani
  • Henrietta Tuomaila
  • Torben Emmerling
  • Stefano Brusoni
  • Laura Fontanesi

Abstract

Behavioural science methods are increasingly used to design and evaluate public policies that better reflect human behaviour and decision making. However, there is a lack of standardization in selecting and labelling these methods, making it difficult for policymakers to choose the appropriate one for a specific policy context. To address this, this working paper proposes guidelines and a visual roadmap, including five key questions to guide the selection of appropriate methods, and seven different experimental or non-experimental methods to choose from. The aim is to provide a simple and practical framework for policymakers to choose the most fit-for-purpose method for their policy context.

Suggested Citation

  • Chiara Varazzani & Henrietta Tuomaila & Torben Emmerling & Stefano Brusoni & Laura Fontanesi, 2023. "Seven routes to experimentation in policymaking: A guide to applied behavioural science methods," OECD Working Papers on Public Governance 64, OECD Publishing.
    • Handle: RePEc:oec:govaaa:64-en
    DOI: 10.1787/918b6a04-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/918b6a04-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/918b6a04-en?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
    ---><---

    More about this item

    Keywords

    Behavioural and experimental economics; Behavioural economics; Experimental economics; Experimental methods; Experimentation; Experimentation and policy-making; Field experiments; Observational methods; Qualitative methods; RCT;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

    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:oec:govaaa:64-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/teoecfr.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.