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Replication Data for: "Building Nations Through Shared Experiences: Evidence from African Football"

Version
1
Resource Type
Dataset : aggregate data, event/transaction data, geographic information system (GIS) data, survey data
Creator
  • Depetris-Chauvin, Emilio (Pontificia Universidad Católica de Chile)
  • Campante, Filipe Robin (Johns Hopkins University)
  • Durante, Ruben (Universitat Pompeu Fabra)
Publication Date
2020-04-16
Description
  • Abstract

    We examine whether shared collective experiences help build a national identity, by looking at the impact of national football teams' victories in sub-Saharan Africa. We find that individuals surveyed in the days after an important victory of their country's national team are 37% less likely to identify primarily with their ethnic group, and 30% more likely to trust other ethnicities, than those interviewed just before. Crucially, national team achievements also reduce violence: countries that (barely) qualified to the Africa Cup of Nations experience less civil conflict (9% fewer episodes) in the following months than countries that (barely) did not.
Temporal Coverage
  • 1997-01-01 / 2015-12-31
    Time Period: Wed Jan 01 00:00:00 EST 1997--Thu Dec 31 00:00:00 EST 2015
Geographic Coverage
  • Africa
Sampled Universe
Smallest Geographic Unit: countries
Availability
Download
Relations
  • Is supplement to
    DOI: 10.1257/aer.20180805 (Text)
Publications
  • Depetris-Chauvin, Emilio, Ruben Durante, and Filipe Campante. “Building Nations through Shared Experiences: Evidence from African Football.” American Economic Review 110, no. 5 (May 2020): 1572–1602. https://doi.org/10.1257/aer.20180805.
    • ID: 10.1257/aer.20180805 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2020-04-17

Depetris-Chauvin, Emilio; Campante, Filipe Robin; Durante, Ruben (2020): Replication Data for: "Building Nations Through Shared Experiences: Evidence from African Football". Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E115011V1