Bryan S. Graham

Bryan S. Graham is a Professor in the Department of ECON at the University of California, Berkeley. His research focuses on Development Economics, Econometrics, and Labor Economics. Graham joined Berkeley as an assistant professor in 2005, following his PhD from Harvard University. His work explores social interactions, poverty traps, and the small sample properties of alternatives to GMM. He has been recognized with several fellowships, including a Macarthur Network on Social Interactions and Economic Inequality Fellowship in 2004, a Harvard University Program on Justice, Welfare, and Economics Fellowship in 2003, and a National Science Foundation Graduate Fellowship in 2000. He also received a Rhodes Scholarship in 1997 and a Fulbright Scholarship in 1998.

Bryan S Graham is a Professor of Economics at the University of California, Berkeley, specializing in econometric methods and their applications to social interactions and network analysis. His research focuses on networks, peer effects, panel data, causal inference, and semiparametric efficiency bounds. Graham's work explores how social structures influence individual outcomes, with applications in education, economics, and public policy. His publications address identification and estimation challenges in social networks, panel data models, and assignment problems with complementarity and social spillovers. His research emphasizes methodological innovation to improve the accuracy of causal inference in complex settings.