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Measure for Measure: How Well Do We Measure Micro-Level Conflict Intensity?

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  • Marijke Verpoorten

Abstract

Rich measures of micro-level violent intensity are jey for succesfully providing insight into the legacy of civil war. Yet, the debate on how exactly conflict intensity should be measured has just started. This paper aims to fuel this awakening debate. It is demonstrated how existing and widely available data - population census data - can provide the basis for a useful measure of micro-level conflict intenisty, i.e. a fine Wartime Excess Mortality Index (WEMI). In contrast to measures that are based on news reports or data from transitional justice records, WEMI is relatively neutral to the cause of excess mortality, giving equal weight to victims belonging to the conquering and defeated party, to victims of large-scale massacres and dispersed killings, to victims of violence. The measure is illustrated for the case of Rwanda and it is shown that in a straightforward empirical application of the impact of armed conflict on schooling different measures for micro-level conflict intensity yield strikingly different results.

Suggested Citation

  • Marijke Verpoorten, 2011. "Measure for Measure: How Well Do We Measure Micro-Level Conflict Intensity?," LICOS Discussion Papers 27511, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
  • Handle: RePEc:lic:licosd:27511
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    References listed on IDEAS

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    Cited by:

    1. Tilman Brück & Patricia Justino & Philip Verwimp & Alexandra Avdeenko & Andrew Tedesco, 2016. "Measuring Violent Conflict in Micro-level Surveys: Current Practices and Methodological Challenges," The World Bank Research Observer, World Bank, vol. 31(1), pages 29-58.
    2. Tilman Brück & Patricia Justino & Charles Patrick MartinShields, 2017. "Conflict and development: Recent research advances and future agendas," WIDER Working Paper Series 178, World Institute for Development Economic Research (UNU-WIDER).
    3. 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.
    4. Serneels , Pieter & Verpoorten , Marijke, 2012. "The impact of armed conflict on economic performance. Evidence from Rwanda," NEPS Working Papers 5/2012, Network of European Peace Scientists.
    5. Tilman Brück & Patricia Justino & Charles Patrick Martin-Shields, 2017. "Conflict and development: Recent research advances and future agendas," WIDER Working Paper Series wp-2017-178, World Institute for Development Economic Research (UNU-WIDER).
    6. Rockmore, Marc & Barrett, Christopher B., 2022. "The implications of aggregate measures of exposure to violence for the estimated impacts on individual risk preferences," World Development, Elsevier, vol. 157(C).

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    More about this item

    Keywords

    Armed Conflict; Micro-level conflict intensity measures; Difference-in-Difference; Rwanda; Schooling;
    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
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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