A deeper look at interstate war data: Interstate War Data version 1.1

Author:

Reiter Dan1,Stam Allan C.2,Horowitz Michael C.3

Affiliation:

1. Department of Political Science, Emory University, USA

2. Frank Batten School of Leadership and Public Policy, University of Virginia, USA

3. Department of Political Science, University of Pennsylvania, USA

Abstract

This paper accomplishes two related goals. Firstly, it presents version 1.1 of the Interstate War Data (IWD) data set. IWD is a data set of all interstate wars, using Correlates of War (COW) rules but improving on COW by repairing the high number of coding errors in COW and more accurately and precisely treating multilateral wars. IWD 1.1 makes important improvements over IWD 1.0, such as describing interstate wars and war participants previously neglected by COW and IWD 1.0 and extending the temporal range forward to 2013. It also is the first data set to provide a systematic list of all interstate wars back to 1816 with at least 500 battle deaths (COW and IWD 1.0 only listed those conflicts with at least 1000 battle deaths). Secondly, the paper discusses important issues in collecting data on interstate wars, especially collecting reliable data on battle dead. Battle dead data are critical both for constructing data sets and for testing hypotheses, but frequently battle dead estimates vary widely, and come from sources of varying quality. The paper discusses the importance of using reliable sources, and in particular of minimizing reliance on military encyclopedias.

Publisher

SAGE Publications

Subject

Political Science and International Relations,Public Administration,Sociology and Political Science

Reference10 articles.

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A century of coalitions in battle: Incidence, composition, and performance, 1900-2003;Journal of Strategic Studies;2022-02-02

2. Jason Lyall, Divided Armies: Inequality and Battlefield Performance in Modern War;Cambridge Review of International Affairs;2021-12-13

3. When Do Leaders Free‐Ride? Business Experience and Contributions to Collective Defense;American Journal of Political Science;2020-04

4. Index;The Production of Knowledge;2020-03-31

5. Proposals;The Production of Knowledge;2020-03-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3