IDEAS home Printed from
   My bibliography  Save this paper

Global Racist Contagion following Donald Trump’s Election


  • Marco Giani
  • Pierre-Guillaume Méon


Using a causal inference in a cross-country regression design made possible by the coincidence that the 2016 US Presidential election occurred during the fieldwork period of the European Social Survey (ESS8), we test whether Donald Trump’s unexpected win increased the willingness to report racist attitudes. The election significantly increased the gap between the opposition to different-race immigration, which did not change, vs. same-race immigration, which significantly decreased. The finding, robust to a large set of checks, is shown to be substantially shaped by socioeconomic and partisan identities. In particular, the causal effect of Donald Trump’s unexpected win on the willingness to report racist attitudes is stronger among old men living in urban areas. Moreover, the aggregate effect is driven by extreme right-wing units with high level of political interest.

Suggested Citation

  • Marco Giani & Pierre-Guillaume Méon, 2017. "Global Racist Contagion following Donald Trump’s Election," Working Papers CEB 17-034, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:sol:wpaper:2013/262257

    Download full text from publisher

    File URL:
    File Function: Œuvre complète ou partie de l'œuvre
    Download Restriction: no

    References listed on IDEAS

    1. Leonardo Bursztyn & Georgy Egorov & Stefano Fiorin, 2017. "From Extreme to Mainstream: How Social Norms Unravel," NBER Working Papers 23415, National Bureau of Economic Research, Inc.
    2. Jennie Huang & Corinne Low, 2017. "Trumping Norms: Lab Evidence on Aggressive Communication before and after the 2016 US Presidential Election," American Economic Review, American Economic Association, vol. 107(5), pages 120-124, May.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Political Processes: Rent-Seeking; Lobbying; Elections; Legislatures and Voting Behavior; Political Economy; Cultural Economics; Economic Sociology;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • P16 - Economic Systems - - Capitalist Systems - - - Political Economy of Capitalism
    • Z10 - Other Special Topics - - Cultural Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sol:wpaper:2013/262257. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Benoit Pauwels). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.