Colin F. Camerer
Robert Kirby Professor of Behavioral Economics; T&C Chen Center for Social and Decision Neuroscience Leadership Chair; Director, T&C Chen Center for Social and Decision Neuroscience
Profile
Colin F. Camerer is a behavioral economist. With the goal of improving the economic analysis of decisions, games, and markets, he uses methods from psychology and neuroscience, including eye-tracking, lesion patients, EEG, fMRI, wearable sensors, machine learning, and animal behavior. His recent research has focused on visual salience and habits.
Camerer received his BA in quantitative studies from Johns Hopkins University, and he holds an MBA in finance and a PhD in decision theory both from the University of Chicago Graduate School of Business. Before coming to Caltech in 1994, he was a faculty member at the University of Chicago GSB (1991–1994), the Wharton School of the University of Pennsylvania (1983–1991), and the Kellogg Graduate School of Business at Northwestern University (1981–1983). He has held visiting professorships at Oxford University (2014–15) and Caltech (1987), and, since 2016, he has been a visiting fellow at the Wharton Neuroscience Initiative.
He is a member of the American Academy of Arts and Sciences, a fellow of the Econometric Society, and a fellow of the Society for the Advancement of
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- MacArthur Fellowship 2013
- Honorary Doctorate, Stockholm School of Economics 2019
- Caltech Brain Imaging Center (CBIC)
- T&C Chen Center for Social and Decision Neuroscience
- The Ronald and Maxine Linde Institute of Economic and Management Sciences
- Center for Theoretical and Experimental Social Sciences (CTESS)
- Computation and Neural Systems, program organized jointly by the Division of Biology and Biological Engineering and the Division of Physics, Mathematics and Astronomy.
- Wharton Neuroscience Initiative Fellow, 2016–present
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Selected Publications
- Wang, Stephanie W.;Camerer, Colin F. (2024) Allocators are more prosocial when affected agents can visually eavesdropJournal of Economic Behavior & Organization
- Holzmeister, Felix;Johannesson, Magnus et al. (2024) Examining the replicability of online experiments selected by a decision marketNature Human Behaviour
- Chapman, Jonathan;Snowberg, Erik et al. (2024) Looming Large or Seeming Small? Attitudes Towards Losses in a Representative SampleReview of Economic Studies
- Brown, Alexander L.;Imai, Taisuke et al. (2024) Meta-analysis of Empirical Estimates of Loss AversionJournal of Economic Literature
- Camerer, Colin;Xin, Yi et al. (2024) A neural autopilot theory of habit: Evidence from consumer purchases and social media useJournal of the Experimental Analysis of Behavior
- Buyalskaya, Anastasia;Ho, Hung et al. (2023) What can machine learning teach us about habit formation? Evidence from exercise and hygieneProceedings of the National Academy of Sciences of the United States of America
- Camerer, Colin F. (2022) The apparent prevalence of outcome variation from hidden "dark methods" is a challenge for social scienceProceedings of the National Academy of Sciences of the United States of America
- Yang, Ruihan;Ma, Yina et al. (2022) Dynamic neural reconfiguration for distinct strategies during competitive social interactionsNeuroImage
- Li, Xiaomin;Camerer, Colin F. (2022) Predictable Effects of Visual Salience in Experimental Decisions and GamesQuarterly Journal of Economics
- Tashjian, Sarah M.;Fedrigo, Virginia et al. (2022) Physiological Responses to a Haunted-House Threat Experience: Distinct Tonic and Phasic EffectsPsychological Science