Dan Rosenbaum
Supervisory Economist at IRS
- Role
- Supervisory Economist Compliance Modeling Lab Knowledge Development and Application Division Raas at Internal Revenue Service
- Location
- Arlington, VA, US
- LinkedIn followers
- 500 followers
About Dan Rosenbaum
Highly accomplished senior economics executive with over 20 years of experience in academia, government, public policy, and consulting. Supervisor of a team of twelve economists, data scientists, statisticians, and operations researchers responsible for tax gap estimates, improper payment estimates, and workload selection models in a high-profile and sensitive environment including many layers and types of stakeholders. Extensive experience leading analytics teams and developing strong relationships with political appointees, top academics, high-level agency leaders, and NBA owners, executives, and coaches. Expert in labor economics, public policy, evaluation, predictive modeling, applied micro-econometrics, and helping decision-makers integrate evidence into decisions. Pioneer of the NBA Moneyball analytics movement. Detail-oriented, open-minded, collaborative, trustworthy, and courageous leader known for analytical expertise, skilled decision-making, and excellent communication skills. HIGHLIGHTS OF CAREERSenior Economist at White House Council of Economic Advisers & Office of Management and BudgetPioneer of NBA basketball analytics movement • Helped launch White House Evidence Team • Economics ProfessorExecutive Director of Basketball Strategy & Analytics • 2500+ Google Scholar citations • Highly influential EITC papersSpecialist Leader at Deloitte Consulting • IRS Supervisory Economist
Experience
Supervisory Economist Compliance Modeling Lab Knowledge Development and Application Division Raas
Mar 2023 — Present · Washington, DC, US
Leading team of economists, statisticians, and data scientists responsible for tax gap estimation, improper payment estimation, audit selection models and support for National Research Program research audit program.• Leading the development of a new methodology with staff and MITRE contractors, incorporating binning, machine learning, and clustering techniques, to estimate the tax gap with a much-reduced sample of research audits.• Guiding the development with staff and Stanford RegLab researchers of a new Bayesian shrinkage model to estimate undetected income and undetected tax gap.• Managing staff responsible for high-profile reports and business partner collaborations in a sensitive environment including many layers and types of stakeholders.
Education
Northwestern University
Doctor of Philosophy (Ph.D.), Economics
1993 — 1998
University of Dayton
Bachelor of Arts (B.A.), Philosophy with minors in Mathematics and Economics
1989 — 1993
Skills
- Policy
- Economics
- Public Speaking
- Research
- Microsoft Office
- Microsoft Excel
- Strategic Planning
- Public Policy
- Leadership
- Sports
- Stata
- Strategy
- Statistics
- Data Analysis
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