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Can the COVID-19 Pandemic and Oil Prices Drive the US Partisan Conflict Index

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  • Emmanuel Apergis
  • Nicholas Apergis

    (Asia Pacific Applied Economics Association)

Abstract

This paper investigates the effect of the COVID-19 and oil prices on the US partisan conflict. Using daily data on world COVID-19 and oil prices, monthly data on the US Partisan Conflict index, and the MIDAS method, the finding suggests that both COVID-19 and oil prices mitigate US political polarization. The finding implies that political leaders aim low for partisan gains during stressful times.

Suggested Citation

  • Emmanuel Apergis & Nicholas Apergis, 2021. "Can the COVID-19 Pandemic and Oil Prices Drive the US Partisan Conflict Index," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    • Handle: RePEc:ayb:jrnerl:30
    DOI: 2021/06/16
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    References listed on IDEAS

    as
    1. Azzimonti, Marina, 2018. "Partisan conflict and private investment," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 114-131.
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    3. Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
    4. Aloui, Riadh & Gupta, Rangan & Miller, Stephen M., 2016. "Uncertainty and crude oil returns," Energy Economics, Elsevier, vol. 55(C), pages 92-100.
    5. Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," CIRANO Working Papers 2004s-20, CIRANO.
    6. McGrath, Mary C., 2017. "Economic Behavior and the Partisan Perceptual Screen," Quarterly Journal of Political Science, now publishers, vol. 11(4), pages 363-383, February.
    7. Levi Boxell & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Is the Internet Causing Political Polarization? Evidence from Demographics," NBER Working Papers 23258, National Bureau of Economic Research, Inc.
    8. Claudia Foroni & Massimiliano Marcellino & Christian Schumacher, 2015. "Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 57-82, January.
    9. repec:cdl:anderf:qt9mf223rs is not listed on IDEAS
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    • O - Economic Development, Innovation, Technological Change, and Growth

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