Vocational training for demobilized ex-combatants with disabilities in Rwanda

IF 0.9 4区 经济学 Q4 DEVELOPMENT STUDIES
Kengo Igei, Kana Takio, Keitaro Aoyagi, Y. Takasaki
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引用次数: 1

Abstract

ABSTRACT Disability-inclusive development is receiving growing attention as a pressing international development issue. Disability-inclusive development is especially urgent and complicated in post-conflict countries. This paper examines the impacts of vocational training on economic empowerment and social reintegration among demobilised ex-combatants with disabilities in Rwanda. This is the first quasi-experimental study on vocational training for disabled ex-combatants. Exploiting the variation in the timing of training uptake within the same training course, we employ a pipeline approach in the following three steps: (1) trimming to guarantee common support within courses, (2) exact matching on key covariates within courses, and (3) regression controlling for covariates within courses based on the matched sample. The results show that the training greatly increased not only employment and earnings, but also trainees’ reintegration into the family and community. The results are robust to potential omitted variable bias and attrition bias according to a coefficient stability test and bound analysis, respectively. Our findings suggest a significant potential of vocational training for disabled ex-combatants in disarmament, demobilisation, and reintegration programmes. Our study exemplifies the utility of a credibly designed pipeline approach, which can be applied in a wide range of development projects in practice.
为卢旺达的残疾复员前战斗人员提供职业培训
残疾人包容性发展作为一个紧迫的国际发展问题日益受到关注。包容残疾的发展在冲突后国家尤为紧迫和复杂。本文探讨了职业培训对卢旺达残疾复员前战斗人员经济赋权和重新融入社会的影响。本研究首次对退役伤残军人进行职业培训的准实验研究。利用同一训练课程中训练摄取时间的变化,我们在以下三个步骤中采用流水线方法:(1)修剪以保证课程内的共同支持,(2)课程内关键协变量的精确匹配,以及(3)基于匹配样本的课程内协变量的回归控制。结果表明,培训不仅大大增加了就业和收入,而且使学员重新融入家庭和社区。通过系数稳定性检验和定界分析,结果对潜在遗漏变量偏差和磨损偏差具有鲁棒性。我们的研究结果表明,在解除武装、复员和重返社会计划中,对残疾前战斗人员进行职业培训具有巨大的潜力。我们的研究举例说明了可靠设计管道方法的实用性,该方法可以在实践中广泛应用于开发项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
11.10%
发文量
32
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