Forecasting Federal Elections: New Data From 2010–2019 and a Discussion of Alternative and Emerging Methods
Hamish Greenop‐Roberts
Australian Economic Review, 2022, vol. 55, issue 1, 25-39
Abstract:
I produce and compare election forecasts for the period 2010–19. The dominant methods of polls, odds and economic models have mixed success, each predicting three out of four federal elections. Consistent with prior research, polls then prediction markets are found to produce the most volatile forecasts, while economic models produce the least. Prediction markets are found to efficiently price available information. Economic models performed well at the 2019 election, however, they were limited by outdated dummy variables for ‘honeymoon effects’. I conclude by discussing some alternative and emerging forecasting methods, including demographic explanations of voting and online sentiment analysis.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/1467-8462.12450
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:bla:ausecr:v:55:y:2022:i:1:p:25-39
Ordering information: This journal article can be ordered from
https://ordering.onl ... 7-8462&ref=1467-8462
Access Statistics for this article
Australian Economic Review is currently edited by John de New, Viet Hoang Nguyen and Susan Méndez
More articles in Australian Economic Review from The University of Melbourne, Melbourne Institute of Applied Economic and Social Research Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().