معرفی
Tim Kautz is a Senior Researcher at Mathematica Policy Research with affiliations at the Behavior Change for Good Initiative (University of Pennsylvania), the Institute for Economic and Social Research (Jinan University), and the Human Capital and Economic Opportunity Global Working Group (University of Chicago). He focuses on causal inference, advanced statistical modeling, and the measurement of non-cognitive skills like perseverance and emotional control.
- Ph.D. in Economics, University of Chicago
- B.A. in Economics, Stanford University
Kautz's research bridges economics, psychology, and education to evaluate interventions improving non-cognitive skills, particularly for disadvantaged populations. His work addresses topics such as remote schooling impacts, behavioral science applications, and methodological challenges in skill assessment.
Kautz's publications highlight trends in non-cognitive skill measurement (2024), remote learning consequences (2021), and behavioral interventions (2021). His methodology emphasizes causal inference, longitudinal analysis, and real-world applications.
Scientific recognition includes:
- National Science Foundation Fellow
He contributes to policy reports on employment coaching, self-regulation skills, and educational inequality, often collaborating with multidisciplinary teams at institutions like the University of Pennsylvania and the University of Chicago.
