Measure for Measure: How Well Do We Measure Micro-level Conflict Intensity?
Abstract
Rich measures of micro-level violent conflict intensity are key for successfully 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 intensity: a fine Wartime Excess Mortality Index (WEMI). It is argued that the proposed measure is particularly well suited for studying the legacy of civil wars that are characterized by a large death toll and by different forms 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, the estimated impact varies widely across WEMI and a large set of alternative conflict intensity measures for Rwanda. While the conflict intensity measure proposed in this paper requires further study and one probably needs a combination of various methodologies, this finding suggests the need for a careful understanding of what underlies the different measures and methodologies in use.Download Info
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Paper provided by Universiteit Antwerpen, Institute of Development Policy and Management (IOB) in its series IOB Working Papers with number 2011.08.Length: 40 pages
Date of creation: Sep 2011
Date of revision:
Handle: RePEc:iob:wpaper:2011008
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Keywords:Other versions of this item:
- Verpoorten, Marijke, 2011. "Measure for measure: how well do we measure micro-level conflict intensity?," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/301501, Katholieke Universiteit Leuven.
- 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.
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
- O15 - Economic Development, 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-28 (All new papers)
- NEP-CSE-2011-11-28 (Economics of Strategic Management)
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References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Serneels, Pieter & Verpoorten, Marijke, 2012.
"The Impact of Armed Conflict on Economic Performance: Evidence from Rwanda,"
IZA Discussion Papers
6737, Institute for the Study of Labor (IZA).
- Pieter Serneels & Marijke Verpoorten, 2012. "The Impact of armed conflict on economic performance Evidence from Rwanda," Economics Series Working Papers WPS/2012-10, University of Oxford, Department of Economics.
- Pieter Serneels & Marijke Verpoorten, 2012. "The impact of armed conflict on economic performance: Evidence from Rwanda," CSAE Working Paper Series 2012-10, Centre for the Study of African Economies, University of Oxford.
- 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.
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