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Linking Ethnic Data from Africa (LEDA)

Author

Listed:
  • Carl Müller-Crepon

    (Department of Politics and International Relations, University of Oxford)

  • Yannick Pengl

    (Center for International Studies, ETH Zurich)

  • Nils-Christian Bormann

    (Department of Philosophy, Politics, and Economics, Witten/Herdecke University)

Abstract

Social scientists in general and conflict researchers in particular increasingly combine multiple datasets to study ethnic politics and conflict in Africa. We facilitate these efforts by systematically linking over 8,100 ethnic categories from 11 databases, including surveys, geographic data, and expert-coded lists. Exploiting the linguistic tree from the Ethnologue database, we propose a systematic solution to the grouping problem of ethnicity. An analysis of political exclusion, mistrust of state leaders, and ethnic grievances highlights different ways of linking ethnic categories from multiple datasets. The LEDA open-source software package allows researchers to link ethnic groups from any database with explicit rules and to add their own data on ethnic groups.

Suggested Citation

  • Carl Müller-Crepon & Yannick Pengl & Nils-Christian Bormann, 2022. "Linking Ethnic Data from Africa (LEDA)," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(3), pages 425-435, May.
  • Handle: RePEc:sae:joupea:v:59:y:2022:i:3:p:425-435
    DOI: 10.1177/00223433211016528
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    References listed on IDEAS

    as
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    Cited by:

    1. Fredriksson, Per G. & Gupta, Satyendra Kumar, 2023. "Irrigation and gender roles," Journal of Development Economics, Elsevier, vol. 163(C).

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    Keywords

    Africa; data; ethnicity;
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