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

Author

Listed:
  • 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
    as

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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Aloui, Riadh & Gupta, Rangan & Miller, Stephen M., 2016. "Uncertainty and crude oil returns," Energy Economics, Elsevier, vol. 55(C), pages 92-100.
    4. Azzimonti, Marina, 2018. "Partisan conflict and private investment," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 114-131.
    5. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
    6. 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.
    7. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    8. 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.
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    More about this item

    Keywords

    covid-19; oil prices; us partisan; conflict index;
    All these keywords.

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth

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