Using polls to forecast popular vote share for US presidential elections 2016 and 2020: an optimal forecast combination based on ensemble empirical model

Easaw, Joshy ORCID: https://orcid.org/0000-0003-3476-4300, Fang, Yongmei and Heravi, Saeed ORCID: https://orcid.org/0000-0002-0198-764X 2021. Using polls to forecast popular vote share for US presidential elections 2016 and 2020: an optimal forecast combination based on ensemble empirical model. Cardiff Economics Working Papers, Cardiff Business School, Cardiff University.

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Item Type:	Monograph (UNSPECIFIED)
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Cardiff Business School, Cardiff University
ISBN:	1749-6010
Date of First Compliant Deposit:	20 December 2021
Date of Acceptance:	20 December 2021
Last Modified:	29 Nov 2022 10:23
URI:	https://orca.cardiff.ac.uk/id/eprint/146232

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