为什么影响测量在实践中被抛弃了?在五个欧洲社会影响债券的评估和合同的证据使用

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Debra Hevenstone, Alec Fraser, L. Hobi, Gemma G. M. Geuke
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引用次数: 1

摘要

尽管对测量“影响”的重要性有广泛的共识,但这个术语并不总是被理解为估计反事实和因果估计。我们研究了一种公共部门融资,即“社会影响债券”,这是一种投资者为公共服务预付资金的计划,偿还条件取决于影响。我们研究了四个欧洲国家社会影响债券为积极劳动力市场项目融资的五个案例,检验了社会影响债券将把反事实因果影响评估转移到政策核心的说法。我们首先考察了证据是如何整合到合同中的,其次考察了产生的总体证据,第三,鉴于合同和评估都没有使用反事实的影响定义,我们探讨了利益相关者的观点,以更好地理解其中的原因。我们发现,尽管大多数利益相关者希望社会影响债券产生影响评估,但对公共服务改革、激励措施和实验逻辑的信念导致了对非因果定义的接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why is impact measurement abandoned in practice? Evidence use in evaluation and contracting for five European Social Impact Bonds
Despite broad consensus on the importance of measuring “impact,” the term is not always understood as estimating counterfactual and causal estimates. We examine a type of public sector financing, “Social Impact Bonds,” a scheme where investors front money for public services, with repayment conditional on impact. We examine five cases in four European countries of Social Impact Bonds financing active labor market programs, testing the claim that Social Impact Bonds would move counterfactual causal impact evaluation to the heart of policy. We examine first how evidence was integrated in contracts, second the overall evidence generated and third, given that neither contracts nor evaluations used counterfactual definitions of impact, we explore stakeholders’ perspectives to better understand the reasons why. We find that although most stakeholders wanted the Social Impact Bonds to generate impact estimates, beliefs about public service reform, incentives, and the logic of experimentation led to the acceptance of non-causal definitions.
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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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