Vocational training for demobilized ex-combatants with disabilities in Rwanda

Vocational training for demobilized ex-combatants with disabilities in Rwanda
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卢旺达复员残疾前战斗人员的职业培训

DOI:
10.1080/19439342.2021.1964575
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发表时间:
2021
影响因子:
0.9
通讯作者:
Takasaki Yoshito
Takasaki Yoshito
中科院分区:
经济学4区
文献类型:
--
作者:
Igei Kengo;Takio Kana;Aoyagi Keitaro;Takasaki Yoshito

文献摘要

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包容残疾的发展作为一个紧迫的国际发展问题受到越来越多的关注。在冲突后国家,包容残疾的发展尤其紧迫和复杂。本文件审查了职业培训对卢旺达残疾复员前战斗人员的经济赋权和重新融入社会的影响。这是关于残疾前战斗人员职业培训的第一次准实验研究。利用同一训练课程中训练吸收时间的差异,我们采用了如下三个步骤:(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;(3)基于匹配样本对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边界分析,结果对潜在忽略变量偏差和磨损偏差具有较强的稳健性。我们的调查结果表明,在解除武装、复员和重返社会方案中对残疾前战斗人员进行职业培训的潜力很大。我们的研究证明了一种设计可靠的管道方法的实用性,该方法可以在实践中广泛应用于各种开发项目。
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.