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Election forecasting under opaque conditions: A model for Francophone Belgium, 1981–2010

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  • Dassonneville, Ruth
  • Hooghe, Marc

Abstract

Election forecasting models assume retrospective economic voting and clear mechanisms of accountability. Indeed, previous research indicates that incumbent political parties are held accountable for the state of the economy. In this article we investigate a ‘hard case’ for the assumptions of election forecasting models. Belgium is a multiparty system with perennial coalition governments. Furthermore, it has two completely segregated party systems (Dutch and French language). Since the prime minister during the period 1974–2011 has always been a Dutch language politician, French language voters could not even vote for the prime minister, so this cognitive shortcut to establishing political accountability is not available. The results of an analysis for the French speaking parties (1981–2010) show that retrospective economic voting occurs even in these conditions of opaque accountability, as election results respond to indicators with regard to GDP and unemployment levels. Party membership figures can be used to model the popularity function in election forecasting.

Suggested Citation

  • Dassonneville, Ruth & Hooghe, Marc, 2012. "Election forecasting under opaque conditions: A model for Francophone Belgium, 1981–2010," International Journal of Forecasting, Elsevier, vol. 28(4), pages 777-788.
  • Handle: RePEc:eee:intfor:v:28:y:2012:i:4:p:777-788
    DOI: 10.1016/j.ijforecast.2012.04.008
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    References listed on IDEAS

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    1. Bellucci, Paolo, 2010. "Election cycles and electoral forecasting in Italy, 1994-2008," International Journal of Forecasting, Elsevier, vol. 26(1), pages 54-67, January.
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    4. Arzheimer, Kai & Evans, Jocelyn, 2010. "Bread and butter à la française: Multiparty forecasts of the French legislative vote (1981-2007)," International Journal of Forecasting, Elsevier, vol. 26(1), pages 19-31, January.
    5. Lewis-Beck, Michael S. & Jêrôme, Bruno, 2010. "European election forecasting: An introduction," International Journal of Forecasting, Elsevier, vol. 26(1), pages 9-10, January.
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