IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/hal-03624729.html
   My bibliography  Save this paper

Party’s rating and electoral forecasting: the case of French Presidential in 2022

Author

Listed:
  • François Facchini

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article is an update and extension of the electoral forecasting model of Lafay, Facchini and Auberger (2007) for the French presidential elections of 2022. Lafay and al. argued that the Socialist Party's rating was a good way to predict the vote split in the second round of elections between the left and the right. Socialist Pary's rating, nonetheless, cannot explain Emmanuel Macron's victory in the 2017 elections. This does not mean that party ratings are not a good predictor of the 2022 elections, if a number of adjustments are made. Based on party ratings the indicators proposed in this article argue that the scores in the first round of the April 2022 elections should be as follows: 30.5% for Emmanuel Macron, 22.7% for Valérie Pécresse (all the candidates of right wing), 18,7% for Marine Le Pen and 24.7% for the left and far left. The second round Macron - Pécresse is favorable to Emmanuel Macron, but depends fundamentally on the vote transfers between the left and the outgoing President. If the left abstains and Marine Le Pen's election rallies to the candidate of the right (LR), then Valérie Pécresse can win with a score of 51% against 49%.

Suggested Citation

  • François Facchini, 2022. "Party’s rating and electoral forecasting: the case of French Presidential in 2022," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03624729, HAL.
    • Handle: RePEc:hal:cesptp:hal-03624729
    DOI: 10.1017/S1049096522000440
    Note: View the original document on HAL open archive server: https://hal.science/hal-03624729
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03624729/document
    Download Restriction: no
    File URL: https://libkey.io/10.1017/S1049096522000440?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
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Election; Popularity functions; Vote functions; Vote - France; Fonction de popularité; Fonction de vote;
    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:hal:cesptp:hal-03624729. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.