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Portfolio Study Deliverable
The brief provides a case study of the Sacramento Partnership Pilots for Disconnected Youth (P3) pilot. As such, it seeks to understand the context for the pilot and describe the pilot’s approach to supporting homeless youth. First, drawing on current literature, the brief provides an overview of the state of youth homelessness and housing insecurity in Sacramento, along with a review of approaches that may have promise in supporting this population.
Implementation Evaluation
Employment and Training
Children and Youth
In the brief, the Partnership Pilots for Disconnected Youth (P3) study team has placed pilots’ efforts to sustain systems change along a continuum. At one end of this continuum, two pilots approached P3 as a platform to facilitate systems change in their communities. Next along the continuum is a pilot that had taken initial steps toward systems change by the end of its P3 grant. Next, two pilots reported that through P3 they had strengthened partnerships and broken down silos but that the systems for serving disconnected youth did not experience much change as a result of P3.
Implementation Evaluation
Employment and Training
Children and Youth
This is a companion document to the Worker Paid Leave Usage Simulation model, or Worker PLUS model, and is part of two supplementary resources on administrative costs. The second supplementary resource is an Excel template, titled “Administrative Cost Excel Template,” which presents a starting template of standard administrative cost categories observed in paid family and medical leave (PFML) programs as a platform to plan, estimate, and test the administrative costs of running a new program. The Excel template is available to users when they download the model.
This is a companion template to the Worker Paid Leave Usage Simulation model, or Worker PLUS model, and is part of two supplementary resources on administrative costs. It is a starting template of standard administrative cost categories observed in paid family and medical leave (PFML) programs as a platform to plan, estimate, and test the administrative costs of running a new program. The Excel template is available to users when they download the model.
To help researchers, policy analysts, and interested members of the public gain better understanding of the Worker Paid Leave Usage Simulation (Worker PLUS) Model and its applications in policy analysis, researchers present an issue brief series to supplement the model documentation files.
The brief provides a step-by-step guide to performing example simulations using the Worker Paid Leave Usage Simulation (Worker PLUS) model. With this guide, users should be able to replicate the provided example of model running using either the Python or the R simulation engine, and to check how the simulation results compare against actual program data for existing state programs in California, New Jersey, and Rhode Island.
In the issue brief, researchers use simulation results from the Worker Paid Leave Usage Simulation (Worker PLUS) Model to analyze the impacts of moving from the unpaid leave system under the current Family and Medical Leave Act to a system that includes a paid leave program that adopts the program rules of the existing program in California. The population considered consists of individuals who work in the state of Maryland who meet the eligibility rules of the California program, and among them, the low-wage workers who earn no more than $30,000 annually.
The issue brief provides a step-by-step guide to using the Worker Paid Leave Usage Simulation (Worker PLUS) Model to perform an example policy simulation of the recently proposed parental leave program for federal workers. The model uses as its intakes the 2018 U.S. Department of Labor (DOL) Family and Medical Leave Act Employee Survey and the sample of civilian employees at the federal government from the 2014–2018 American Community Survey Public Use Microdata Sample and applies program parameters that best reflect the proposed leave program.
In the issue brief, researchers report findings from testing and validating the Worker Paid Leave Usage Simulation (Worker PLUS) using data from the 2018 U.S. Department of Labor Family and Medical Leave Act Employee Survey; the 2014–2018 American Community Survey Public Use Microdata Sample; and benefit outlay data published by state paid leave programs in California, New Jersey, and Rhode Island. The brief also discusses the implication of the model testing results on choice of simulation methods, assessment of program take-up rates, and estimation of program benefit outlays.
In the issue brief, researchers provide a benchmarking study of the Worker Paid Leave Usage Simulation (Worker PLUS) Model simulation results. The results from the Worker PLUS model are compared to those from an existing paid leave simulation model developed by Albelda and Clayton-Matthews (2017, the ACM model) and actual program administrative data. Simulation results compared include program benefit outlays and program participation for three state paid leave programs in California, New Jersey, and Rhode Island.
The issue brief provides a benchmarking study of the Worker Paid Leave Usage Simulation (Worker PLUS) Model’s Benefit Financing module. Researchers compare payroll tax revenue estimates from Worker PLUS to actual program administrative data for three state paid leave programs (California, New Jersey, and Rhode Island). The study shows that the Benefit Financing module produces conservative revenue estimates in these cases, by underestimating the payroll tax revenue by about 10% to 15%.
In 2018, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractor The Urban Institute to design and conduct an evaluation that examines critical policy issues, lessons learned, and challenges states faced administering Unemployment Insurance (UI) programs during the Great Recession that began in 2007 and the economic recovery that followed.
Literature Review
In 2018, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractor The Urban Institute to design and conduct an evaluation that examines critical policy issues, lessons learned, and challenges states faced administering Unemployment Insurance (UI) programs during the Great Recession that began in 2007 and the economic recovery that followed. Additionally, the opportunity to study these topics as they relate to the COVID-19 pandemic was incorporated into the study.
Literature Review
The Contingent Worker Supplement (CWS) to the Current Population Survey— administered six times between 1995 and 2017—is uniquely valuable in providing detailed information on a consistent set of work arrangements in a large, nationally representative survey. Drawing on data from all six CWS waves, researchers provide an in-depth picture of the nature of contingent and alternative work and whether and how employment arrangements are changing in the United States.
Secondary data analysis
Workers in Contingent and Alternative Arrangements
Many youth in America are not on track for labor market success. One factor that increases the risk of poor labor market outcomes among these youth is dropping out of school (Rumberger 2020). Youth who drop out of school are at greater risk for job instability and for lower long-term earnings (Hair et al. 2009). They are also more likely to struggle with mental health and substance abuse issues (Maynard et al. 2015). These challenges are compounded for youth who have early involvement with the juvenile or criminal justice systems.
Employment and Training
Children and Youth
The toolkit provides a basic overview of evaluation elements for program management purposes. It also draws from and provides information about other generally accepted and available evaluation resources that may be useful as an entry point for state Reemployment Services and Eligibility Assessments (RESEA) programs that may not make full use of evaluations in program planning or implementation or that may need additional evaluation reference to expand their evaluation activities.
Implementation Evaluation
Unemployed
In 2017, the Chief Evaluation Office (CEO) partnered with the Employment and Training Administration (ETA) to fund contractors Urban Institute, George Washington University, Capital Research Corporation, and the National Association of State Workforce Agencies to conduct an analysis of employer performance measurement approaches required by Workforce Innovation and Opportunity Act (WIOA).
Quasi-Experimental Design
The brief examines one aspect of the Job ChalleNGe grants – the goal of serving more court-involved youth. It draws on findings from multiple data sources including two rounds of site visits, a background information form, a follow-up survey with Job ChalleNGe participants, program records, and postsecondary and criminal justice administrative records.
Employment and Training
Children and Youth
The report provides details on the data, samples, methods, and analyses for the Youth CareerConnect (YCC) impact study. Rigorously evaluating the effects of the YCC program on student outcomes required that multiple technical pieces be put in place, from selecting districts to participate in the evaluation to collecting and processing high-quality data and measuring impacts to conducting rigorous analysis to estimate impacts. This report provides details of these processes.
The technical appendix to the Workforce Innovation and Opportunity Act (WIOA) Implementation Study that focused on the core workforce programs authorized under WIOA Title I (Adult, Dislocated Worker, and Youth Services) and Title III (Employment Services) and examined integration with programs under Titles II (Adult Education and Family Literacy) and IV (Vocational Rehabilitation), and other partners.
Employment and Training
Federal Employees
The report provides the findings from the impact study of Youth CareerConnect (YCC). The YCC impact study assessed short-term student outcomes with two rigorous components—a quasi-experimental design (QED) study in 16 school districts and a randomized controlled trial (RCT) in four school districts that were also in the QED.
The Workforce Innovation and Opportunity Act (WIOA) of 2014 included multiple provisions to strengthen service quality, access, accountability, and coordination across many programs. The report describes early WIOA implementation efforts, based on data collected during pilot site visits to four states and eight local areas in fall 2017. The purpose of the site visits was to help inform the design of the WIOA implementation study and to identify key stakeholders’ initial perspectives on WIOA requirements across five domains.
Employment and Training
Federal Employees
The Workforce Innovation and Opportunity Act (WIOA) of 2014 included multiple provisions to strengthen service quality, access, accountability, and coordination across many programs. The report focuses on implementation of WIOA’s changes to various aspects of the WIOA Title I Youth program administered by the U.S. Department of Labor. The report covers changes regarding funding, service delivery approaches, performance accountability, and program elements.
Employment and Training
Adult workers
In 2014, the U.S. Department of Labor (DOL) awarded $107 million in four-year grants to 24 applicants for the Youth CareerConnect (YCC) program. At its core, the YCC program was designed to strengthen America’s talent pipeline by putting high school students on a pathway to complete postsecondary education, obtain industry-recognized credentials, and secure a job in middle- to high-skilled fields that often rely on foreign workers.
Employment and Training
Children and Youth
The Workforce Innovation and Opportunity Act (WIOA) of 2014 included multiple provisions to strengthen service quality, access, accountability, and coordination across many programs. The report focuses on implementation of WIOA’s changes to various aspects of performance accountability and in other data-driven areas under the law, as related to the “core” workforce programs for Titles I and III.
Employment and Training
Federal Employees