IDEAS home Printed from https://ideas.repec.org/a/cup/apsrev/v71y1977i04p1447-1466_26.html
   My bibliography  Save this article

Spatial Voting Models for the French Fifth Republic

Author

Listed:
  • Rosenthal, Howard
  • Sen, Subrata

Abstract

In this study formal spatial models are applied to cross-sectional analysis of district results on the second ballot of French legislative elections. A model of probabilistic spatial voting better accounts for the data than either standard “ecological†models or a model of deterministic spatial voting. There are three substantive findings concerning voter behavior. First, the adjustment of voters to external information can be largely viewed as a shift in the spatial (Left-Right) distribution of voters. This shift, plus decisions by parties and candidates as to which districts parties will contest, determines the first ballot outcome. In arriving at second ballot choices, voters then appear to utilize decision rules that have a substantial degree of temporal stability. A second and related finding is that the second ballot can be reasonably accounted for by a single Left-Right dimension. Third, in those districts with three or more candidates on the second ballot, there may be substantial strategic voting with voters switching from candidates close to their ideal points but unlikely to win to more distant candidates who are more likely to win. The existence of strategic voting is suggested by the finding that models based solely on spatial preferences perform well for two-candidate districts, but less well for three- or four-candidate districts.

Suggested Citation

  • Rosenthal, Howard & Sen, Subrata, 1977. "Spatial Voting Models for the French Fifth Republic," American Political Science Review, Cambridge University Press, vol. 71(4), pages 1447-1466, December.
  • Handle: RePEc:cup:apsrev:v:71:y:1977:i:04:p:1447-1466_26
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0003055400269700/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Maria Petrova & Ananya Sen & Pinar Yildirim, 2021. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Management Science, INFORMS, vol. 67(5), pages 2997-3021, May.
    2. Maria Petrova & Ananya Sen & Pinar Yildirim, 2020. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Papers 2011.02924, arXiv.org.

    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:cup:apsrev:v:71:y:1977:i:04:p:1447-1466_26. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/psr .

    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.