Forecasting the 2015 British election through party popularity functions |
| |
Affiliation: | 1. Bank of Italy, Research Department, Rome;2. Sciences Po Economics Department, Rome |
| |
Abstract: | To forecast the May 7, 2015 British General Election, we develop party popularity models based on Continuous Monitoring Survey (CMS) data from April 2004 to February 2015. Our models predict party vote shares three months prior to the election, using previous support levels, national economic evaluations, macro-partisanship and political measures. Our Seemingly Unrelated Regression (SUR) methodology allows us to predict support for the Tories, Labour, Liberal Democrats and “other” parties, separately, yet simultaneously, by constraining total support for all parties to 100%. Our model, estimated with data from February 2015, predicts that Labour will win the highest vote share in Great Britain, but that no party will win a majority of seats in parliament. |
| |
Keywords: | Election forecast British election Economic voting Party popularity Time series Compositional models |
本文献已被 ScienceDirect 等数据库收录! |
|