Forecasting the 2020 and 2024 U.S. presidential elections

Author:

Walker David A.1ORCID

Affiliation:

1. McDonough School of Business Georgetown University Washington DC 20057 USA

Abstract

AbstractAmerican popular and Electoral College presidential elections are forecast for 2020 and 2024, employing auto‐regressive time series and cross‐section probit models. Predictions are between the Republican and Democratic parties, not named persons. Year 2020: In July 2020, the Democrats' two party popular vote was predicted to be 52.7%. They received 52.2%. The cross‐section Electoral College model showed Democrats could not win the White House without winning all of Pennsylvania, Michigan, Wisconsin, and Nevada, which they did with 306 Electoral Votes. Year 2024: Democrats are predicted to win the 2024 presidency with 272 electoral votes, including Nevada's six votes and most of the large states they won in 2020. Democrats are predicted to win 53.7% of the popular vote. Fed's policies are expected to reduce inflation to 5.5%. Trump announced his candidacy in November 2022; however, other candidates are announcing for 2024. Trump's extreme positions in office and erratic behavior after losing in 2020 and then encouraging the January 6 insurrection are experiences Democrats can exploit. Events occurring after December 31, 2022, do not influence the predictions presented here.

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation,Economics and Econometrics

Reference57 articles.

1. Will Time for Change Mean Time for Trump?

2. Abramowitz A.(2020).A coronavirus recession could doom Trump's reelection chances Sabato's Crystal Ball Center for Politics University of Virginia.

3. Will Democrats Catch a Wave? The Generic Ballot Model and the 2018 US House Elections

4. Anderson N. &Svrluga S.(2021).UNC‐Chapel Hill dramas have starkly partisan back dramas The Washington Post August 7 p.A4.

5. Highlights from PS: Political Science & Politics Editors’ Report, 2015–2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3