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Counting Civilian CasualtiesAn Introduction to Recording and Estimating Nonmilitary Deaths in Conflict$
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Taylor B. Seybolt, Jay D. Aronson, and Baruch Fischhoff

Print publication date: 2013

Print ISBN-13: 9780199977307

Published to Oxford Scholarship Online: May 2013

DOI: 10.1093/acprof:oso/9780199977307.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 12 April 2021

Combining Found Data and Surveys to Measure Conflict Mortality

Combining Found Data and Surveys to Measure Conflict Mortality

(p.147) 8 Combining Found Data and Surveys to Measure Conflict Mortality
Counting Civilian Casualties

Jeff Klingner

Romesh Silva

Oxford University Press

Measuring conflict mortality is challenging. The chapter discusses how found data—data created for some purpose other than mortality estimation—can be combined with surveys and other intentionally gathered data to improve estimates of the magnitude and patterns of conflict mortality. The chapter defines and outlines the strengths and weaknesses of found data and surveys, and gives several examples of each. Three case studies—of research conducted in Timor-Leste, India, and Kosovo—illustrate how these two types of data have been fruitfully combined to improve estimates of civilian casualties. The case studies describe how the use of diverse sources of data and multiple systems estimation methods can help in advancing an accurate understanding of conflict mortality and its consequences. The chapter concludes by drawing general principles about this type of data integration from themes common to all the case studies.

Keywords:   mortality estimation, survey methods, conflict mortality, civilian casualties, data integration, Timor-Leste, India, Kosovo

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