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Racial Hate Crime and COVID-19: A Multinomial Choice Study in the US

Authors: Yiang Li (UCL) , Xingzuo Zhou (UCL) , Tianning Zhu (UCL) , Xiaoyu Guo (UCL)

  • Racial Hate Crime and COVID-19: A Multinomial Choice Study in the US

    Explore Econ Research Papers

    Racial Hate Crime and COVID-19: A Multinomial Choice Study in the US

    Authors: , , ,

Abstract

During the COVID-19 pandemic, a dual shock to the economy and health system, the sentiments of uncertainty and insecurity have exacerbated the racial inequalities in the United States - contributing to the rise of antagonistic racial tension. Using hate crime data published by the Federal Bureau of Investigation (FBI), this study implemented a Multinomial Logistic Regression to analyse the marginal probability of different races committing hate crimes. It is found that all races except for African Americans tend to target African Americans as victims of a racial hate crime. This study reveals the racial inequality and discrimination that existed in the United States, providing policymakers and public activists with evidence and direction to make efforts.

Keywords: COVID-19, Multinomial Choice, Stigmatisation, Inequality, Hate Crime, Racism

How to Cite:

Li, Y. & Zhou, X. & Zhu, T. & Guo, X., (2022) “Racial Hate Crime and COVID-19: A Multinomial Choice Study in the US”, UCL Journal of Economics 1(1), 24–31. doi: https://doi.org/10.14324/111.444.2755-0877.1403

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Published on
25 Aug 2022
Peer Reviewed