Susanna Loeb

sloeb
Susanna Loeb
Professor, Graduate School of Education,
Stanford University

Susanna Loeb is a professor in the Graduate School of Education at Stanford University. She was previously director of the Annenberg Institute at Brown University, where she was professor of education and of international and public affairs and the founder and acting executive director of the National Student Support Accelerator, which aims to expand access to relationship-based, high-impact tutoring in response to the Covid-19 pandemic. Loeb is also a senior fellow at the Stanford Institute for Economic Policy Research (SIEPR). Her research focuses broadly on education policy and its role in improving educational opportunities for students. Her work has addressed issues of educator career choices and professional development, of school finance and governance, and of early childhood systems. Before moving to Brown, Susanna was the Barnett Family Professor of Education at Stanford GSE. She was the founding director of the Center for Education Policy Analysis (CEPA) at Stanford and co-director of Policy Analysis for California Education (PACE). Loeb led the research for both Getting Down to Facts projects for California schools. In 2020, she was elected to the American Academy of Arts and Sciences. She is an affiliate at the National Bureau of Economic Research (NBER), the Abdul Latif Jameel Poverty Action Lab (J-PAL), and a member of the National Academy of Education (NAE). Loeb received her MPP from the Institute of Public Policy Studies and a PhD in economics from the University of Michigan.

updated 2025

Publications by Susanna Loeb
This article examines the use of student test score data to measure the effects of school principals on student achievement. Multiple models are developed and compared using data from a large urban school district, with results showing the…
The policy brief examines the impact of QTEA on teacher recruitment, retention, and overall teacher quality in the San Francisco Unified School District. It provides evidence of the effectiveness of salary increases in attracting and hiring higher-…
The Magnitude of Student Sorting Within Schools
This study examines patterns of sorting across classrooms within schools in three large urban school districts. Students are sorted across classrooms by race, poverty status, and prior achievement. Sorting is smaller within schools than across…
Teacher Characteristics and Class Assignments
This study examines teacher sorting within schools in a large urban district. It finds that less experienced, minority, and female teachers are assigned lower-achieving students than their more experienced, white, and male colleagues. The authors…