IDEAS home Printed from https://ideas.repec.org/a/cog/poango/v4y2016i3p172-187.html
   My bibliography  Save this article

Predicting Paris: Multi-Method Approaches to Forecast the Outcomes of Global Climate Negotiations

Author

Listed:
  • Detlef F. Sprinz

    (PIK–Potsdam Institute for Climate Impact Research, Germany, and Faculty of Economic and Social Sciences, University of Potsdam, Germany)

  • Bruce Bueno de Mesquita

    (Department of Politics, New York University, USA)

  • Steffen Kallbekken

    (CICERO–Center for International Climate and Environmental Research—Oslo, Norway)

  • Frans Stokman

    (Department of Sociology, University of Groningen, The Netherlands)

  • Håkon Sælen

    (CICERO–Center for International Climate and Environmental Research—Oslo, Norway, and Department of Political Science, University of Oslo, Norway)

  • Robert Thomson

    (School of Government and Public Policy, University of Strathclyde, UK)

Abstract

We examine the negotiations held under the auspices of the United Nations Framework Convention of Climate Change in Paris, December 2015. Prior to these negotiations, there was considerable uncertainty about whether an agreement would be reached, particularly given that the world’s leaders failed to do so in the 2009 negotiations held in Copenhagen. Amid this uncertainty, we applied three different methods to predict the outcomes: an expert survey and two negotiation simulation models, namely the Exchange Model and the Predictioneer’s Game. After the event, these predictions were assessed against the coded texts that were agreed in Paris. The evidence suggests that combining experts’ predictions to reach a collective expert prediction makes for significantly more accurate predictions than individual experts’ predictions. The differences in the performance between the two different negotiation simulation models were not statistically significant.

Suggested Citation

  • Detlef F. Sprinz & Bruce Bueno de Mesquita & Steffen Kallbekken & Frans Stokman & Håkon Sælen & Robert Thomson, 2016. "Predicting Paris: Multi-Method Approaches to Forecast the Outcomes of Global Climate Negotiations," Politics and Governance, Cogitatio Press, vol. 4(3), pages 172-187.
  • Handle: RePEc:cog:poango:v4:y:2016:i:3:p:172-187
    DOI: 10.17645/pag.v4i3.654
    as

    Download full text from publisher

    File URL: https://www.cogitatiopress.com/politicsandgovernance/article/view/654
    Download Restriction: no

    File URL: https://libkey.io/10.17645/pag.v4i3.654?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
    ---><---

    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:cog:poango:v4:y:2016:i:3:p:172-187. 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: António Vieira or IT Department (email available below). General contact details of provider: https://www.cogitatiopress.com .

    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.