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Political Parties and Hate Crimes: Empirical Evidence from the United States
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Political Parties and Hate Crimes: Empirical Evidence from the United States

Author

Listed:
  • Matheus A. S. Souza
  • Paulo R. A. Loureiro
  • Geovana L. Bertussi
  • George H. M. Cunha
  • Tito B. S. Moreira

Abstract

This paper evaluates the relationship between political parties and hate crimes in the US, based on the empirical models, considering a panel data with 47 states from 1997 to 2019. Results show that a Democratic president is correlated with fewer crimes of hate if compared with a Republican. Such a result might occur due to different public policies according to the political party in power. Results also show that Democratic governors have a positive correlation with hate crimes, but further exercises show that this is only true for Southern states. In non-Southern states, Democratic governors are negatively correlated with hate crimes.

Suggested Citation

  • Matheus A. S. Souza & Paulo R. A. Loureiro & Geovana L. Bertussi & George H. M. Cunha & Tito B. S. Moreira, 2022. "Political Parties and Hate Crimes: Empirical Evidence from the United States," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(11), pages 1-46, November.
  • Handle: RePEc:ibn:ijefaa:v:14:y:2022:i:11:p:46
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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Sean Mulholland, 2013. "White supremacist groups and hate crime," Public Choice, Springer, vol. 157(1), pages 91-113, October.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Nathan J. Canen & Chad Kendall & Francesco Trebbi, 2020. "Political Parties as Drivers of U.S. Polarization: 1927-2018," NBER Working Papers 28296, National Bureau of Economic Research, Inc.
    5. Leonardo Bursztyn & Georgy Egorov & Stefano Fiorin, 2020. "From Extreme to Mainstream: The Erosion of Social Norms," American Economic Review, American Economic Association, vol. 110(11), pages 3522-3548, November.
    6. Lewis R. Gale & Will Carrington Heath & Rand W. Ressler, 2002. "An Economic Analysis of Hate Crime," Eastern Economic Journal, Eastern Economic Association, vol. 28(2), pages 203-216, Spring.
    7. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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