IDEAS home Printed from https://ideas.repec.org/p/nip/nipewp/17-2011.html

Forecasting Spanish Elections

Author

Listed:
  • Pedro C. Magalhães

    (University of Lisbon, Social Sciences Institute)

  • Luís Francisco Aguiar

    (Universidade do Minho - NIPE)

  • Michael S. Lewis-Beck

    (University of Iowa)

Abstract

The behavior of the individual Spanish voter has come to be rather well-understood, thanks to a growing research literature. However, no models have appeared to explain, or to forecast, national election outcomes. The presence of this research gap contrasts sharply with the extensive election forecasting work done on other leading Western democracies. Here we fill this gap. The model, developed from core political economy theory, is parsimonious but statistically robust. Further, it promises considerable prediction accuracy of Spanish general election outcomes, six months before the contest actually occurs. After presenting the model, and carrying out extensive regression diagnostics, we offer an ex ante forecast of the 2012 general election.

Suggested Citation

  • Pedro C. Magalhães & Luís Francisco Aguiar & Michael S. Lewis-Beck, 2011. "Forecasting Spanish Elections," NIPE Working Papers 17/2011, NIPE - Universidade do Minho.
  • Handle: RePEc:nip:nipewp:17/2011
    as

    Download full text from publisher

    File URL: http://www3.eeg.uminho.pt/economia/nipe/docs/2011/NIPE_WP_17_2011.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Forecasting Spanish Elections: 2011 Spanish Pre-Election Report
      by Joshua Tucker in The Monkey Cage on 2011-09-21 23:51:53

    Citations

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


    Cited by:

    1. Fronzetti Colladon, Andrea, 2020. "Forecasting election results by studying brand importance in online news," International Journal of Forecasting, Elsevier, vol. 36(2), pages 414-427.
    2. Quinlan, Stephen & Lewis-Beck, Michael S., 2021. "Forecasting government support in Irish general elections: Opinion polls and structural models," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1654-1665.
    3. Aichholzer, Julian & Willmann, Johanna, 2014. "Forecasting Austrian national elections: The Grand Coalition model," International Journal of Forecasting, Elsevier, vol. 30(1), pages 55-64.
    4. Munzert, Simon, 2017. "Forecasting elections at the constituency level: A correction–combination procedure," International Journal of Forecasting, Elsevier, vol. 33(2), pages 467-481.
    5. Nadeau, Richard & Lewis-Beck, Michael S., 2020. "Election forecasts: Cracking the Danish case," International Journal of Forecasting, Elsevier, vol. 36(3), pages 892-898.
    6. Andreas Graefe & Kesten C Green & J Scott Armstrong, 2019. "Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-14, January.

    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:nip:nipewp:17/2011. 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: NIPE (email available below). General contact details of provider: https://edirc.repec.org/data/nipampt.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.