The University of Michigan’s Youth Policy Lab (YPL) and TRAILS (Transforming Research into Action to Improve the Lives of Students) have been awarded a $3.8 million grant by the U.S. Department of Education Institute of Education Sciences (IES). The...
Ammara Ansari (MPP ‘19) never imagined working on youth education and wellness policy or conducting evaluations—but in a joint fellowship with The Skillman Foundation and the Council of Michigan Foundations (CMF), that is exactly what she’s doing....
"The single best way to avoid... selection problems and determine the causal impact of a policy or program is through a randomized control trial. While such experiments can be expensive and are often logistically or politically difficult, they have...
Dean Yang is the feature of a November 30 interview with Feed the Future Innovation Lab for Assets and Market Access (AMA) at the University of California, Davis.
The “Q&A with Professor Dean Yang” centers on an evaluation Yang is conducting of a...
Researchers at the University of Michigan have launched a new lab designed to help state and local agencies, social service providers, nonprofits and educators improve life outcomes for Michigan youth, from birth through age 25.The Youth Policy Lab...
Causal Inference in Education Research Seminar (CIERS)
The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy topics.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy topics.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy topics.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy topics.
