C H ILD C A R E P O LIC Y R ES EAR C H C ON S OR T I UM P R OJ EC T B R IE F Behavioral Interventions to Advance Self-Sufficiency Project Lashawn Richburg Hayes and David Butler, MDRC Lisa Gennetian, Sendhil Mullainathan, Eldar Shafir, John Balz, ideas42 2010 to 2014. Project Description. The Behavioral Interventions to Advance SelfSufficiency (BIAS) project, sponsored by the Administration for Children and Families (ACF) in the U.S. Department of Health and Human Services (HHS), is the first major opportunity to apply a behavioral research lens to programs that serve poor families in the United States – programs like cash assistance, child care, child support, and child welfare. The project, led by MDRC in partnership with ideas42, will apply behavioral insights to issues related to operations, implementation, structure and efficacy of social service programs and policies. The ultimate goal is to learn how tools from behavioral science can be used to improve the well-being of low-income children, adults, and families. program goals and behavioral “bottlenecks” in achieving those goals. A clear area of focus is parental child care decision making in the context of child care subsidy use, type and stability of child care arrangements. Some examples of themes that have begun to emerge from conversations with these experts that potentially show promise in the application of a behavioral lens include: Can the administration of child care subsidies be redesigned to be less variant to job variability by lengthening subsidy receipt eligibility, automating recertification, prepopulating forms, or the use of comparable behavioral tools? And, might this align with efforts to expand what qualifies as an approved work activity without adding verification or documentation burden? The BIAS project consists of four phases. In the Are there salient points in family or children’s development that may be better first phase, the team will engage in knowledge suited to offering or recertifying subsidies? development that will result in a conceptual Can interactions between CCRR agents and paper about the application of behavioral parents be re-formulated or triaged in some principles to ACF programs and populations. way-considering both the factors at play in The second phase of the project will feature peer parent’s identity and very immediate family learning institutes, which will bring together situations--to be better tailored to the current policymakers, program administrators, other needs and situation of the parent at the time ACF stakeholders and behavioral experts to of seeking the subsidy vs. a one-size-fits-all jointly study and review the applications of approach and might this increase subsidy behavioral economics to ACF’s program areas. use? Insights and applications generated from these Is it possible to capitalize on “trust” as a way first two phases will be tested through on-theto improve parent use of subsidies or ground pilots in the third phase, and the fourth encourage use of particular types of child care phase of the project will further implement and settings? test the most promising pilot interventions. Are there ways to reframe or simplify communication of parent purchasing power Research questions. through use of child care subsidies? And, The project currently is in its knowledge likewise, availability and quality of care development phase interviewing a variety of national experts and administrators to better understand settings at time of application or recertification? Sample. The specific study sample at this stage of the study is unknown. The knowledge development work in the child care domain at this point is focused on families eligible or engaged with the child care subsidy system. Methods. Over the next 6 to 12 months conversations with stakeholders will continue. This will be followed by two primary activities during the learning phase of the project: Behavioral mapping. We will choose at least one site to delve more deeply into documenting and observing the client and front line worker experiences, as well as flow of services to isolate behavioral bottlenecks. This will be used to generate hypotheses based on behavioral concepts; and, further to develop behaviorally-oriented interventions. Peer Learning Institutes. The learnings from the base period will be shared with stakeholders, behavioral scientists and the policy community through a series of Peer Learning Institutes. Such institutes will serve as both an opportunity to educate and disseminate the application of behavioral insights to child care, as well as share the results of tools, such as behavioral maps. These institutes will also function as recruitment for partners and collaborators for piloting and scaling behavioral interventions during the later phases of the project. Progress Update. The results from the first 1.5 years of knowledge development in the application of behavioral insights to parental decision making in child care subsidy use, type and continuity of care settings can be shared at the November 2011 CCPRC meetings. This may also include the results of a behavioral mapping of one site reflecting results from a very specific on-the-ground example. Implications for policy/practice One aim of the BIAS project is to expand the toolkit of policy makers and practitioners leveraging insights from psychology in a structured way. This toolkit can complement the traditional policy levers of price, budget constraints and decision making predicated on clear cost-benefit trade-offs. Concrete examples will be made available in the domains of child care as one of ACF’s program areas of focus. Implications for research A second aim of BIAS is to introduce a new set of conceptual insights for understanding parental child care decision making, offering theories to organize behaviors that do not seem to be explained by cost-factors or clearly linked to measurable aspects of quality of child care. The behavioral approach also has methodological implications as one that takes psychological insights, links those to behavioral interventions and is very context-specific about its on-theground application. For more information: Include any papers in preparation, publications, URLs, or other resources where one can find additional information regarding the project. Include contact information (i.e., name, title/position, organizational affiliation, email address, and phone number or other preferred mode of contact.) Contact Lisa Gennetian, ideas42 email: gennetl@nber.org phone: 914-834-2200 Key Topics Please select all that apply and briefly describe/explain. This information will be used internally in planning the CCPRC Annual Meeting. Child Care Subsidy Policies & Practices e.g., How do policies and practices influence parents’ child care decisions, parental and/or child outcomes, providers’ behavior, access to quality child care? Collaboration, Integration, & Linkages e.g., What are characteristics of different types of collaborations? What are reasonable outcomes to expect? What are we learning from coordination across different systems? What is the value added of effective collaborations at the state and local levels? Quality Frameworks How well are QRIS living up to promise of improved outcomes at the systems, provider, family and child levels? How are they influencing parent decisions, professional development, workforce issues? What are we learning about collaborative professional development strategies and effective targeting of quality resources? Other (please describe) The BIAS project seeks to understand the psychological underpinnings to child care subsidy use and recertification, as well as subsequent decisions on type of care used and whether such bottlenecks interrupt subsidy goals of use and retention as well as encouragement in high quality settings. BIAS will work closely with on-the-ground partners at the state or CCRR level. Behavioral mapping involves very detailed and specific observation gathering. BIAS is an opportunity to take a second look at ways in which QRIS is communicated and used; and, accessible to subsidy eligible families. This project is an opportunity to apply new strategies to optimize QRIS.