Matthew Shum | |
|---|---|
 Matthew Shum | |
| Born | February 21, 1970 Houston, Texas, U.S. |
| Academic career | |
| Institution | California Institute of Technology |
| Field | Econometrics Industrial organization Behavioral economics |
| Alma mater | Columbia University (B.A.) Stanford University (Ph.D.) |
| Information at IDEAS / RePEc | |
Matthew Shou-Chung Shum is an American economist. He is the William D. Hacker Professor of Economics at the California Institute of Technology since 2023. [1] He is married and has four children. [2]
Shum was born on February 21, 1970, in Houston, Texas. [2]
Shum received his B.A. from Columbia University in 1992. He received his Ph.D. in economics from Stanford University in 1998, working on his thesis under the supervision of Frank A. Wolak. He worked at the Union Bank of Switzerland as an analyst from 1992 to 1993. Shum became an assistant professor at the University of Toronto from 1998 to 2000 before moving to the faculty of Johns Hopkins University, where he taught until 2008. He became a professor at Caltech in 2008 and served as the J. Stanley Johnson Professor of Economics from 2016 to 2022. Since 2021, Shum has also been a member of the economics team on the Amazon Scholars program. [1] [2]
Shum's research lies at the intersection between econometrics and the study of industrial organizations that involves applying statistical modeling to consumer and firm-level datasets, studying equilibrium models of rational decision making. [1] Aside from his work conducting research in the field of economics, Shum also has a history of performing editorial duties. He worked as an associate editor for the International Economic Review from 2010 to 2020 and a department editor for Management Science from 2014 to 2021. [2]
Shum was elected a fellow of the International Association of Applied Econometrics in 2020 and a member of the Econometric Society in 2021. [3] [4] He has delivered talks at events such as the 2021 Paris Conference on Digital Economics and the annual NBER Summer Institute, as well as virtual seminars at Texas A&M University, Princeton University, and the University of California, Los Angeles. [2]
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