Dr. Eric Bettinger

Professor

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Biography

Eric Bettinger is the Conley DeAngelis Family Professor at Stanford University in the Graduate School of Education, where he also serves as a Senior Fellow at the Hoover Institution. He has been a faculty member since 2008 and has held various academic appointments at Stanford and previously at Case Western Reserve University. His research primarily focuses on economics of education, examining factors that drive student success, the impacts of financial aid, and the effectiveness of online education. Bettinger utilizes rigorous statistical methods to analyze cause-and-effect relationships in higher education, which has significantly influenced financial aid policy discussions, including simplification efforts at the White House. His expertise extends to various research projects that assess educational systems and refine strategies to enhance student engagement and achievement. He holds a Ph.D. in Economics from the Massachusetts Institute of Technology and a Bachelor's degree in Economics from Brigham Young University, where he graduated magna cum laude. Bettinger has published extensively in leading journals and continues to contribute to national and international education policy discussions, aiming to improve educational access and outcomes for students.

Research Interests

Experience

Professor

2008-01-01 — Present

Graduate School of Education, Stanford University • Stanford, CA

Conley DeAngelis Family Professor with a focus on educational policy, research, and analysis.

Senior Fellow

2008-01-01 — Present

Hoover Institution • Stanford, CA

Engaged in research and policy analysis in economics and education.

Research Associate

2003-01-01 — Present

National Bureau of Economic Research •

Active researcher in the field of economic policy and education.

Awards

#

Honorary Doctorate

2021-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.