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Civil War and the Welfare of Extended Households: Evidence from Longitudinal Data from Burundi

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  • Philip Verwimp

    (Fund for Scientific Research Flanders, University of Antwerp)

  • Tom Bundervoet

    (Vrije Universiteit Brussel)

Abstract

We analyse the effect of violence and rebellion on the evolution of household welfare. We collected new panel data for Burundi (1999-2007) in which we reinterviewed original as well as newly formed households (split-offs). We use several definitions of the household as unit of analysis and test for resource pooling between parental and split-off households. Focusing on the effect of civil war, we find that villagelevel violence, measured as the number of battle-related deaths or wounded reduces consumption growth by 9% for every 25 casualties. Joining an armed rebel group was a lucrative livelihood strategy: households of which at least one member joined an armed group experienced 41% higher growth in welfare over the study period. Results are robust to alternative variables of civil war shocks and model specifications, including household fixed effects and initial household fixed effects.

Suggested Citation

  • Philip Verwimp & Tom Bundervoet, 2009. "Civil War and the Welfare of Extended Households: Evidence from Longitudinal Data from Burundi," HiCN Working Papers 70, Households in Conflict Network.
  • Handle: RePEc:hic:wpaper:70
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    References listed on IDEAS

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    1. Mark Rosenzweig & Andrew D. Foster, 1996. "Household Division, Inequality and Rural Economic Growth," Home Pages _074, University of Pennsylvania.
    2. Andrew D. Foster & Mark R. Rosenzweig, 2002. "Household Division and Rural Economic Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 839-869.
    3. International Monetary Fund, 2007. "Burundi: Poverty Reduction Strategy Paper," IMF Staff Country Reports 2007/046, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Tilman Br�ck & Patricia Justino & Philip Verwimp & Andrew Tedesco & Alexandra Avdeenko, 2013. "Measuring Conflict Exposure in Micro-Level Surveys," HiCN Working Papers 153, Households in Conflict Network.
    2. Punam Chuhan-Pole & Francisco H.G. Ferreira & Cesar Calderon & Luc Christiaensen & David Evans & Gerard Kambou & Sebastien Boreux & Vijdan Korman & Megumi Kubota & Mapi Buitano, "undated". "Africa's Pulse, April 2015," World Bank Publications - Reports 21736, The World Bank Group.
    3. Andrea Colombo & Olivia D'Aoust & Olivier Sterck, 2019. "From Rebellion to Electoral Violence: Evidence from Burundi," Economic Development and Cultural Change, University of Chicago Press, vol. 67(2), pages 333-368.
    4. Olivia D�Aoust & Olivier Sterck & Philip Verwimp, 2013. "Buying Peace: The Mirage of Demobilizing Rebels," HiCN Working Papers 145, Households in Conflict Network.
    5. Tilman Brück & Wim Naudé & Philip Verwimp, 2013. "Entrepreneurship and Violent Conflict in Developing Countries," WIDER Working Paper Series wp-2013-028, World Institute for Development Economic Research (UNU-WIDER).
    6. Mercier, Marion & Ngenzebuke, Rama Lionel & Verwimp, Philip, 2020. "Violence exposure and poverty: Evidence from the Burundi civil war," Journal of Comparative Economics, Elsevier, vol. 48(4), pages 822-840.
    7. Olivia D'Aoust, 2015. "Post-war economics: micro-level evidence from the African Great Lakes Region," ULB Institutional Repository 2013/209098, ULB -- Universite Libre de Bruxelles.
    8. Tilman Brück & Patricia Justino & Philip Verwimp & Alexandra Avdeenko, 2010. "Identifying Conflict and Violence in Micro-Level Surveys," Economics of Security Working Paper Series 38, DIW Berlin, German Institute for Economic Research.
    9. Brück, Tilman & Naudé, Wim & Verwimp, Philip, 2013. "Entrepreneurship and Violent Conflict in Developing Countries," WIDER Working Paper Series 028, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    consumption; growth; violence; civil war; panel data; Africa;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • N47 - Economic History - - Government, War, Law, International Relations, and Regulation - - - Africa; Oceania

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