EconPapers    
Economics at your fingertips  
 

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

Ruth Dassonneville and Marc Hooghe

International Journal of Forecasting, 2012, vol. 28, issue 4, 777-788

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.

Keywords: Election forecasting; Belgium; Party membership; Prime minister; Economic voting (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0169207012000465
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:28:y:2012:i:4:p:777-788

DOI: 10.1016/j.ijforecast.2012.04.008

Access Statistics for this article

International Journal of Forecasting is currently edited by R. J. Hyndman

More articles in International Journal of Forecasting from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:intfor:v:28:y:2012:i:4:p:777-788