Benjamin Golub

American economist From Wikipedia, the free encyclopedia

Benjamin Golub (also known as Ben Golub) is an American economist who is a professor of economics and computer science at Northwestern University. His research focuses on the economics of networks. He was named the winner of the 2020 biannual Calvó-Armengol International Prize, which recognizes a “top researcher in [e]conomics or social sciences younger than 40 years old for contributions to the theory and comprehension of the mechanisms of social interaction.”[3]

Quick facts Academic background, Alma mater ...
Benjamin Golub
Academic background
Alma materCalifornia Institute of Technology
Stanford University
Doctoral advisorMatthew O. Jackson[1]
Andrzej Skrzypacz[1]
Robert B. Wilson[1]
Academic work
DisciplineMicroeconomics, economics of networks
InstitutionsNorthwestern University
Notable ideasResearch on social learning, financial networks
AwardsCalvó-Armengol International Prize, 2020[2]
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Career

Golub received a bachelor's degree in mathematics from the California Institute of Technology in 2007. He received his PhD in economics from the Stanford Graduate School of Business in 2012.[4] From 2013 to 2015, he was a Junior Fellow at Harvard Society of Fellows,[5] and then a faculty member at the Harvard University Department of Economics, as an assistant professor from 2015 to 2019, and then as an associate professor. He is now a professor in the departments of Economics and Computer Science at Northwestern University, where he has been since 2021.[4][6]

Golub received the Calvó-Armengol International Prize in a ceremony in Andorra in November 2021.[7][8]

Research

Golub's research focuses on social and economic networks. He has been recognized for his contributions to the study of social learning,[2][9] particularly the DeGroot model. Golub's studies highlight the importance of network structure for the quality of learning,[10] and how homophily in social networks causes polarization of opinions.[11] He has also done research on contagion of failure in financial networks.[12]

References

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