Daniel Kahneman Collegiate Professor of Information

Research Professor, Research Center for Group Dynamics

Distinguished Visiting Professor


Yan Chen is the Daniel Kahneman Collegiate Professor in the School of Information at the University of Michigan. She also holds an appointment as a research professor with the U-M Institute for Social Research. Her research interests are in behavioral and experimental economics, market design, and the economics of information technology. She has served in various editorial positions, including an Advisory Editor at Games and Economic Behavior (2013-2020) and a Department Editor (Behavioral Economics and Decision Analysis) at Management Science (2018-2022). She was the president (2015-17) of the Economic Science Association.


Working Papers:

  • Social Media and Job Market Success: A Field Experiment on Twitter.
    Jingyi Qiu, Yan Chen, Alain Cohn, and Alvin Roth. 2024. (Available at SSRN or DOI)
  • Crowdsourcing Digital Public Goods: A Field Experiment on Metadata Contributions.
    Linfeng Li, Yan Chen, Margaret Levenstein, and Lars Vilhuber. 2024. (Available at SSRN or DOI)
  • Group Identity and Belief Formation: A Decomposition of Political Polarization.
    Kevin Bauer, Yan Chen, Florian Hett, and Michael Kosfeld. 2023. (Available at SSRN or DOI)

Selected Publications:


(Everyday) yanchen_at_umich_edu
si-yanchen_at_umich_edu

(I use this email address to invite domain experts to contribute to Wikipedia.)

Address
4348 North Quad
School of Information
University of Michigan
105 South State Street
Ann Arbor, MI 48109-1285
(734) 764-9488
(734) 764-1555
yanchen_at_umich_edu
Office hours:
Fall 2022: 1-2 PM on Thursdays

Ph.D. students and post-docs:
Linfeng Li (postdoc)
Sunny Qingyi Wang
Jingyi Qiu



Teaching:
SI 563: Game Theory on open.michigan: The slides have been described by Mike Harmala. Feel free to download and re-use (creative commons license).
SIADS 631: Experimental Method on YouTube (17 videos, creative commons license). Please email me if you need any of the slides.

Acknowledgements:

Our work is made possible through the generosity of the National Science Foundation. However, any opinions, findings, and conclusions or recommendations expressed in the papers listed in this website are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

* This website's template is borrowed from Michael Bernstein.