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Policy evaluation via a statistical control: A non-parametric evaluation of the 'Want2Work' active labour market policy

机译：通过统计控制进行政策评估：“ Want2Work”积极劳动力市场政策的非参数评估

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摘要

Active labour market policies are popular tools used by governments to help get unemployed people back into work It is a common problem that interventions of this type are often established with no equivalent control group on which to base an evaluation of programme effectiveness. This study uses propensity score matching to evaluate the success of an active labour market policy (the Welsh Assembly's 'Want2Work' programme) that cannot otherwise be evaluated using standard parametric techniques. Using a range of matching and estimation methods, sub-samples and types of job, the scheme was successful. Our most conservative estimate indicates that participants were 7 percentage points more likely to find employment than a control group of non-treated job-seekers. The method adopted here is a useful addition to the real world policy evaluation tool kit, where programme effectiveness needs to be judged in the absence of an established control group. Our results provide evidence that even those who are currently out of the labour market and on health related benefits can find work with the help of appropriately designed support. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机译：积极的劳动力市场政策是政府用来帮助失业人员重返工作的流行工具。一个普遍的问题是，通常在没有等效控制组的情况下建立此类干预措施，以此来评估计划的有效性。本研究使用倾向得分匹配来评估有效劳动力市场政策（威尔士议会的“ Want2Work”计划）的成功，而该政策否则无法使用标准参数技术进行评估。通过使用一系列匹配和估计方法，子样本和工作类型，该计划成功了。我们最保守的估计表明，与未接受治疗的求职者对照组相比，参与者找到工作的可能性高7个百分点。这里采用的方法是对现实世界政策评估工具包的有用补充，在这种情况下，需要在没有建立的对照组的情况下判断计划的有效性。我们的结果提供了证据，即使是那些目前不在劳动力市场并且没有健康相关福利的人，也可以在适当设计的支持下找到工作。 （C）2015作者。由Elsevier B.V.发布。这是CC BY许可下的开放获取文章（http://creativecommons.org/licenses/by/4.0/）。

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