Jonah Deutsch specializes in evaluation design and quantitative methods to evaluate the impacts of labor and education programs. His expertise includes quantifying the returns to postsecondary education, designing experimental and quasi-experimental evaluations of training and reemployment programs, and developing novel evaluation methods.
Deutsch currently leads a project to estimate the economic returns to students generated by individual postsecondary institutions, using state longitudinal data systems and federal data sources. In previous work, he developed measures of high school effectiveness based on longer-term student outcomes. Deutsch recently completed a nationwide quasi-experimental evaluation of apprenticeship programs in high-need occupations for the U.S. Department of Labor (DOL). In several previous studies, Deutsch designed and analyzed experimental studies of behavioral interventions that he helped develop with the Occupational Safety and Health Administration, a state Unemployment Insurance agency, and the Trade Adjustment Assistance program, all for U.S. DOL.
Deutsch develops new quantitative techniques to better understand how program effects operate and builds software tools to implement them, with funding from private foundations and the U.S. National Science Foundation. He has experience designing and estimating teacher and school value-added models for several studies. His research has been published in peer-reviewed journals, including the Journal of the Royal Statistical Society, Journal of Policy Analysis and Management, Statistics in Medicine, and the Journal of Educational and Behavioral Statistics.
Before joining Mathematica, Deutsch earned a PhD in public policy from the University of Chicago.
Mathematica’s study helps Louisiana measure its public high schools’ contribution to student outcomes such as high school graduation, college enrollment, and eventual earnings.
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