Neil Seftor

Neil Seftor

Senior Researcher
Areas of Expertise
  • Education research
  • Econometric and evaluation methodology
  • Design and analysis of education policy evaluations using random assignment and quasi-experimental methods
  • Education
  • Teacher and Principal Effectiveness
  • College and Career Readiness
  • Strengthening and Disseminating Research
About Neil

Neil Seftor specializes in education research, with expertise in econometric and evaluation methodology, including the design and analysis of education policy evaluations using random assignment and quasi-experimental methods.

Seftor is currently director and co-principal investigator of the U.S. Department of Education’s What Works Clearinghouse. His responsibilities include overseeing reviews of research, developing and revising review standards, and producing reports. Seftor also oversees communications efforts, the development of new products, and the open data initiative, including providing data from WWC reviews, designing new tools for using and accessing data on the web, and developing new web products based on the data.

Other work has included the analysis of two evaluations of the Undergraduate Scholarship and Intramural Research Loan repayment programs funded by the National Institutes of Health, contributing to the design, recruitment, data collection, and analysis of the Evaluation of the Impact of Teacher Induction Programs funded by the U.S. Department of Education and authoring a report on quality teaching.

Seftor presents at professional conferences and publishes in peer-reviewed journals, such as the Journal of Human Resources. He has a Ph.D. in economics from the University of Virginia.

Key Projects
  • What Works Clearinghouse
    What Works Clearinghouse

    The What Works Clearinghouse collects, reviews, and reports on studies of education interventions. The growing focus on evidence-based decision making has increased demand for this type of information.

Latest News
Related Case Studies
  • three ies studies graphic
    Building the Knowledge Base on Teacher Preparation and Effectiveness

    Mathematica designed and conducted three large-scale studies on the relationship between teacher preparation and effectiveness, using the most rigorous approach possible—random assignment of students to teachers from different kinds of programs—and compared student test scores to gauge teacher effectiveness.