Forecasting proportional representation elections from nonrepresentative expectation surveys

Graefe, Andreas (2016): Forecasting proportional representation elections from nonrepresentative expectation surveys. In: Electoral Studies, Bd. 42: S. 222-228

Abstract

This study tests non-representative expectation surveys as a method for forecasting elections. For dichotomous forecasts of the 2013 German election (e.g., who will be chancellor, which parties will enter parliament), two non-representative citizen samples performed equally well than a benchmark group of experts. For vote-share forecasts, the sample of more knowledgeable and interested citizens performed similar to experts and quantitative models, and outperformed the less informed citizens. Furthermore, both citizen samples outperformed prediction markets but provided less accurate forecasts than representative polls. The results suggest that non-representative surveys can provide a useful low-cost forecasting method, in particular for small-scale elections, where it may not be feasible or cost-effective to use established methods such as representative polls or prediction markets. (c) 2016 Elsevier Ltd. All rights reserved.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Sozialwissenschaften > Kommunikationswissenschaft
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 070 Publizistische Medien, Journalismus, Verlagswesen
• ISSN: 0261-3794
• Sprache: Englisch