Election forecasting in Lithuania: The case of municipal elections
AbstractThis article explores the possibilities for election forecasting in Lithuania, a post-communist country that has a party system which is characterized by high levels of electoral volatility and fragmentation. The main argument of the article is that despite these unfavorable conditions, election forecasting in Lithuania has potential. Since the sample of national parliamentary elections is too limited for statistical modeling, the possibility of forecasting at the level of municipalities in the municipal council elections is discussed. Four factors (local unemployment change, party’s belonging to the national government, population size and lagged vote share) are integrated into a model that strives to predict the vote share of the party that holds the mayor’s post (the dominant political power in the municipal council). The model presented explains more than 70% of the variance in the dependent variable. The case diagnostics reveal that the model predicts municipal election outcomes very accurately.
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Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Forecasting.
Volume (Year): 28 (2012)
Issue (Month): 4 ()
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Web page: http://www.elsevier.com/locate/ijforecast
Municipal elections; Forecasting; Lithuania; Mayor’s party;
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- Lewis-Beck, Michael S. & Tien, Charles, 2008. "Forecasting presidential elections: When to change the model," International Journal of Forecasting, Elsevier, vol. 24(2), pages 227-236.
- 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.
- Campbell, James E., 2008. "Evaluating U.S. presidential election forecasts and forecasting equations," International Journal of Forecasting, Elsevier, vol. 24(2), pages 259-271.
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