Daniel Kahneman Collegiate Professor of Information

Research Professor, Research Center for Group Dynamics

Yan Chen is the Daniel Kahneman Collegiate Professor in the School of Information at the University of Michigan. Her research interests are in behavioral and experimental economics, market design, and digital economics. She has served in various editorial positions, including Advisory Editor at Games and Economic Behavior (2013-2020) and Department Editor at Management Science (2018-2022). She was the president (2015-17) of the Economic Science Association, and the recipient of the 2019 Carolyn Shaw Bell Award. She is a Fellow 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)
  • Crowdsourcing Digital Public Goods: A Field Experiment on Metadata Contributions.
    Linfeng Li, Yan Chen, Margaret Levenstein, and Lars Vilhuber. 2024. (Available at SSRN)
  • Group Identity and Belief Formation: A Decomposition of Political Polarization.
    Kevin Bauer, Yan Chen, Florian Hett, and Michael Kosfeld. 2023. (Available at SSRN)

Selected Publications:

Each paper is tagged by its topics and methods. Search papers by topic (tag):

behavioral market design, digital economy, identity, teams, public goods, matching, auctions, contest, learning, mechanism design, game theory, political economy, biology, methodology, replication, survey, field experiment, lab experiment, theory.

yanchen@umich.edu
si-yanchen_at_umich_edu
Curriculum vitae
Google Scholar
Wikipedia
(734) 764-9488
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.