行为经济学和社会政策:为儿童和家庭管理部门支持的项目设计创新解决方案

Lashawn Richburg-Hayes, Caitlin Anzelone, Nadine Dechausay, S. Datta, A. Fiorillo, Louis Potok, M. Darling, John Balz
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引用次数: 76

摘要

由美国卫生与公众服务部下属的儿童与家庭管理局(ACF)计划、研究与评估办公室(Office of Planning, Research and Evaluation of Administration for Children and Families,简称ACF)赞助的“行为干预促进自给自足”(Behavioral Interventions to Advance Self-Sufficiency,简称BIAS)项目旨在了解行为经济学的工具如何改善ACF支持的项目所服务的个人和家庭的福祉。许多人类服务项目要求客户做出积极的决定,并遵循一系列的步骤来获得收益——从决定申请,到填写表格,再到安排照顾孩子。程序设计者通常假设个人会仔细考虑选择,做出最大限度地提高他们的福祉的决定,并努力贯彻到底。行为经济学结合了心理学和经济学的见解,可能有助于解释为什么这些假设并不总是得到证实。通过描述三个地点的工作,本报告说明了BIAS项目如何利用行为经济学原理为ACF项目设计解决方案。在与项目管理者的合作中,BIAS团队使用一种称为“行为诊断和设计”的方法来深入研究项目管理者已经确定的问题,诊断可能抑制项目绩效的潜在瓶颈,并确定相对容易和低成本的、行为知情的改变可能改善结果的领域。BIAS小组与德克萨斯州总检察长办公室的儿童抚养部门合作,探索了增加申请修改子女抚养令的在押非监护父母数量的方法,目的是防止子女抚养欠款的进一步累积。项目团队还与伊利诺伊州人类服务部及其一个求职承包商合作,确定行为干预措施,以帮助获得临时贫困家庭援助的客户提高求职援助的参与率。最后,与国家家庭暴力热线(NDVH)合作,重点是减少那些在接到等待信息后,在与NDVH工作人员交谈之前就挂断电话的呼叫者的数量。•行为诊断和设计过程提供了一种识别和解决程序可能未达到预期效果的关键原因的方法。这个过程可以发现行为瓶颈,这些瓶颈是可以通过行为解决方案解决的。它还可以识别结构性问题,例如需要雇用更多的员工,这通常超出了BIAS项目的范围。•诊断过程鼓励程序设计者在采用特定的理论或解决方案之前退后一步,检查性能不佳的多种可能解释。这可能会提高任何行为干预成功的可能性。随着项目的推进,BIAS团队将继续与政府官员合作,在ACF项目领域设计和应用行为干预措施,以产生解决问题的新方法。有希望的干预措施将通过严格的研究设计进行测试,采用实验方法可靠地确定干预措施的影响。未来的出版物将报道这些干预措施的影响。
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Behavioral Economics and Social Policy: Designing Innovative Solutions for Programs Supported by the Administration for Children and Families
Sponsored by the Office of Planning, Research and Evaluation of the Administration for Children and Families (ACF) within the U.S. Department of Health and Human Services, the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project aims to learn how tools from behavioral economics can improve the well-being of individuals and families served by programs that ACF supports. Many human services programs require clients to make active decisions and follow a series of steps in order to reap a benefit — from deciding to apply, to completing forms, to arranging for child care. Program designers often assume that individuals will carefully consider options, make decisions that maximize their well-being, and diligently follow through. Behavioral economics, which combines insights from psychology and economics, may help explain why these assumptions are not always borne out. By describing work in three sites, this report illustrates how the BIAS project draws on the principles of behavioral economics to design solutions for ACF programs. In partnership with program administrators, the BIAS team uses a method called “behavioral diagnosis and design” to delve into problems that program administrators have identified, diagnose potential bottlenecks that may inhibit program performance, and identify areas where a relatively easy and low-cost, behaviorally informed change might improve outcomes. Working with the Texas Office of the Attorney General´s Child Support Division, the BIAS team explored ways to increase the number of incarcerated noncustodial parents who apply for a modification of their child support order, with the goal of preventing further accrual of child support arrears. The project team also engaged with the Illinois Department of Human Services and one of its job search contractors to identify behavioral interventions that could help increase the rate of engagement in job search assistance among clients who receive Temporary Assistance for Needy Families. Finally, work with the National Domestic Violence Hotline (NDVH) focused on reducing the number of callers who reach a hold message but hang up before talking to an NDVH staffer. Key Findings: •The behavioral diagnosis and design process provides a means of identifying and addressing key reasons that programs may not be performing to expectation. The process can uncover behavioral bottlenecks that are amenable to behavioral solutions. It may also identify structural issues, such as a need to hire more staff, which are often outside the scope of the BIAS project. •The diagnosis process encourages program designers to step back and examine multiple possible explanations for underperformance before embracing a particular theory or solution. This may improve the likelihood of success of any behavioral intervention. As the project moves forward, the BIAS team will continue to work with public officials to design and apply behavioral interventions in ACF program areas to generate new ways of tackling problems. Promising interventions will be tested using rigorous research designs, employing experimental methods to reliably determine the impact of an intervention. Future publications will report the impacts of these interventions.
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