Forecasting Brazilian presidential elections: Solving the N problem
AbstractThe use of election forecasting models is common practice in the US and other established democracies like France and the UK. However, not much work has been done in the area for more recent democracies. Forecasting election results in recently (re)democratized countries poses a serious challenge, given the very few observations of the dependent variable. Thus, we ask: is it possible to make valid election forecasts when the number of elections we have is very small? In this paper, we present recommendations on how to forecast elections under such circumstances. Our strongest recommendation is to evaluate forecasting models using subnational data. We illustrate our recommendations using Brazilian presidential elections since 1994 and data from the 27 states of the Union. Our findings indicate that forecasting elections in recent democracies is neither futile nor impossible, as some of the models presented here produce reasonably accurate forecasts.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Forecasting.
Volume (Year): 28 (2012)
Issue (Month): 4 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/ijforecast
Election forecasting; Comparative politics; Presidential elections; Brazil; Econometric models;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Abramowitz, Alan I., 2008. "It's about time: Forecasting the 2008 presidential election with the time-for-change model," International Journal of Forecasting, Elsevier, vol. 24(2), pages 209-217.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.