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Bread and butter à la française: Multiparty forecasts of the French legislative vote (1981-2007)

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  • Arzheimer, Kai
  • Evans, Jocelyn

Abstract

It is well known that citizens tend to blame the government for economic hardship, and that they see legislative elections as an opportunity to "throw the rascals out". However, while this mechanism has been thoroughly explored as a basis for election forecasting in the US and many Western European countries, research carried out on the semi-presidential case of France has only developed more recently. We employ a constrained model predicting votes for principal party groupings, rather than relying upon simple incumbent/opposition vote prediction. Building upon work by Auberger and Jérôme and Jérôme-Speziari, we adopt a time-series approach, using data from 1981 forwards to look for evidence of variation at the departmental level in support for party groups and economic indicators such as unemployment and GDP. We then assess the model's efficacy in retrodicting first-round legislative election results in France.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:intfor:v:26:y::i:1:p:19-31
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    References listed on IDEAS

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    1. Antoine Auberger & Eric Dubois, 2005. "The influence of local and national economic conditions on French legislative elections," Public Choice, Springer, vol. 125(3), pages 363-383, December.
    2. Nannestad, Peter & Paldam, Martin, 1994. "The VP-Function: A Survey of the Literature on Vote and Popularity Functions after 25 Years," Public Choice, Springer, vol. 79(3-4), pages 213-245, June.
    3. Fidrmuc, Jan, 2000. "Political support for reforms: Economics of voting in transition countries," European Economic Review, Elsevier, vol. 44(8), pages 1491-1513, August.
    4. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    5. repec:hal:cesptp:hal-00800638 is not listed on IDEAS
    6. Antoine Auberger, 2004. "Les fonctions de vote : un survol de la littérature," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(1), pages 95-107.
    7. Katz, Jonathan N. & King, Gary, 1999. "A Statistical Model for Multiparty Electoral Data," American Political Science Review, Cambridge University Press, vol. 93(1), pages 15-32, March.
    8. White, Halbert, 1983. "Corrigendum [Maximum Likelihood Estimation of Misspecified Models]," Econometrica, Econometric Society, vol. 51(2), pages 513-513, March.
    9. Jerome, Bruno & Jerome, Veronique & Lewis-Beck, Michael S., 1999. "Polls fail in France: forecasts of the 1997 legislative election1," International Journal of Forecasting, Elsevier, vol. 15(2), pages 163-174, April.
    10. Jackman, Robert W. & Volpert, Karin, 1996. "Conditions Favouring Parties of the Extreme Right in Western Europe," British Journal of Political Science, Cambridge University Press, vol. 26(4), pages 501-521, October.
    11. Eric Dubois & Christine Fauvelle-Aymar, 2004. "Vote Functions in France and the 2002 Election Forecast," Post-Print hal-00800630, HAL.
    12. Tomz, Michael & Tucker, Joshua A. & Wittenberg, Jason, 2002. "An Easy and Accurate Regression Model for Multiparty Electoral Data," Political Analysis, Cambridge University Press, vol. 10(1), pages 66-83, January.
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