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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, Fang, Yongmei and Heravi, Saeed 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: 31 May 2022 06:37
URI: https://orca.cardiff.ac.uk/id/eprint/146232

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