For the Models of Coordination and Technical Assistance to Achieve Outcomes in Communities project, Mathematica will partner with ASPE to explore several dimensions of federal-to-local efforts for cross-sector social service coordination.
- Evaluation design
- Evidence-based labor programs and practices
- Systematic reviews
- Training and Re-employment
- Unemployment Insurance
- Family Support
- TANF and Employment Issues
- Human Services
Annalisa Mastri designs and conducts experimental and nonexperimental evaluations of employment and family support interventions. She is the deputy director of the Next Generation of Enhanced Employment Strategies project, a multi-site randomized controlled trial of interventions for people facing multiple employment barriers.
In addition, she uses a systematic technical assistance approach to modernize and improve service delivery in workforce development and cash assistance programs in Philadelphia, Baltimore, and elsewhere. The goal of the technical assistance is to use research evidence and methods to improve outcomes for individuals and families and prepare human service programs for rigorous evaluation.
Mastri, who joined Mathematica in 2007, previously served as principal investigator for the U.S. Department of Labor’s Clearinghouse for Labor Evaluation and Research and the Administration for Children and Families’ Employment Strategies for Low-Income Adults Evidence Review. She holds a Ph.D. in education economics from Stanford University.
Models of Coordination and Technical Assistance to Achieve Outcomes in Communities
Evaluation of the Unemployment Compensation Provisions of ARRA
This evaluation assessed states’ decisions to adopt unemployment compensation provisions that expanded eligibility and/or the generosity of benefits. It also provided insights into who made use of the additional weeks of unemployment benefits available during the recession, and how they fared.
Workforce Investment Act Adult and Dislocated Worker Programs Gold Standard Evaluation
In 2008, the U.S. Department of Labor’s Employment and Training Administration commissioned Mathematica to conduct a national random assignment evaluation of the Workforce Investment Act Adult and Dislocated Worker programs' effectiveness.
Project AWESOME: Advancing Welfare and Family Self-Sufficiency Research
Project AWESOME, a multi-year effort, is producing cross-cutting research that is responsive to the needs and interests of the field. Mathematica is supporting the development, implementation, and dissemination of this research program.
Clearinghouse for Labor Evaluation and Research (CLEAR)
CLEAR’s mission is to make research on labor topics more accessible to practitioners, policymakers, researchers, and the general public so that it can inform their decisions about labor policies and programs.
Employment Strategies for Low-Income Adults Evidence Review (ESER)
Mathematica conducted a systematic review of the research literature on programs and strategies intended to help low-income adults acquire and maintain employment and achieve self-sufficiency.
Evaluating the Effectiveness of Employment and Training Services to Improve Job Seekers' Success
For 10 years, the Workforce Investment Act of 1998 (WIA) was the major source of public funding for employment and training services in the United States. WIA’s Adult and Dislocated Worker programs provided employment and training for low-income disadvantaged job seekers as well as workers laid off from...